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ORCIDEvangelos A. Theodorou
Person information
- affiliation: Georgia Institute of Technology, Institute for Robotics and Intelligent Machines, Atlanta, GA, USA
- affiliation: University of Washington, Departments of Computer Science and Engineering, Seattle, WA, USA
- affiliation: University of Southern California, Los Angeles, Computational Learning and Motor Control Lab, CA, USA
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Journal Articles
- 2024
[j30]Bogdan I. Vlahov
, Jason Gibson, David D. Fan, Patrick Spieler, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Low Frequency Sampling in Model Predictive Path Integral Control. IEEE Robotics Autom. Lett. 9(5): 4543-4550 (2024)- [j29]Kelsey P. Hawkins, Ali Pakniyat, Evangelos A. Theodorou, Panagiotis Tsiotras:
Solving Feynman-Kac Forward-Backward SDEs Using McKean-Markov Branched Sampling. IEEE Trans. Autom. Control. 69(9): 5695-5710 (2024) - [j28]Yanbing Mao, Naira Hovakimyan, Tarek F. Abdelzaher, Evangelos A. Theodorou:
Social System Inference From Noisy Observations. IEEE Trans. Comput. Soc. Syst. 11(1): 639-651 (2024) - 2023
- [j27]Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou:
Generalization of Safe Optimal Control Actions on Networked Multiagent Systems. IEEE Trans. Control. Netw. Syst. 10(1): 491-502 (2023) - [j26]Augustinos D. Saravanos, Yuichiro Aoyama, Hongchang Zhu, Evangelos A. Theodorou:
Distributed Differential Dynamic Programming Architectures for Large-Scale Multiagent Control. IEEE Trans. Robotics 39(6): 4387-4407 (2023) - 2022
- [j25]Ethan N. Evans, Andrew P. Kendall, Evangelos A. Theodorou:
Stochastic spatio-temporal optimization for control and co-design of systems in robotics and applied physics. Auton. Robots 46(1): 283-306 (2022) - [j24]Hassan Almubarak, Nader Sadegh, Evangelos A. Theodorou:
Safety Embedded Control of Nonlinear Systems via Barrier States. IEEE Control. Syst. Lett. 6: 1328-1333 (2022) - [j23]David D. Fan, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Learning Risk-Aware Costmaps for Traversability in Challenging Environments. IEEE Robotics Autom. Lett. 7(1): 279-286 (2022) - [j22]Hassan Almubarak, Kyle Stachowicz, Nader Sadegh, Evangelos A. Theodorou:
Safety Embedded Differential Dynamic Programming Using Discrete Barrier States. IEEE Robotics Autom. Lett. 7(2): 2755-2762 (2022) - [j21]Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae:
Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. 7(2): 3194-3201 (2022) - 2021
- [j20]George I. Boutselis, Ethan N. Evans, Marcus A. Pereira, Evangelos A. Theodorou:
Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems. Entropy 23(8): 941 (2021) - [j19]Manan Gandhi, Bogdan I. Vlahov, Jason Gibson, Grady Williams, Evangelos A. Theodorou:
Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees. IEEE Robotics Autom. Lett. 6(2): 1423-1430 (2021) - [j18]Kaivalya Bakshi, David D. Fan, Evangelos A. Theodorou:
Schrödinger Approach to Optimal Control of Large-Size Populations. IEEE Trans. Autom. Control. 66(5): 2372-2378 (2021) - [j17]George I. Boutselis, Evangelos A. Theodorou:
Discrete-Time Differential Dynamic Programming on Lie Groups: Derivation, Convergence Analysis, and Numerical Results. IEEE Trans. Autom. Control. 66(10): 4636-4651 (2021) - 2020
- [j16]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Imitation learning for agile autonomous driving. Int. J. Robotics Res. 39(2-3) (2020) - [j15]Keuntaek Lee, Jason Gibson, Evangelos A. Theodorou:
Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC. IEEE Robotics Autom. Lett. 5(2): 1207-1214 (2020) - 2019
- [j14]Ioannis Exarchos, Evangelos A. Theodorou, Panagiotis Tsiotras:
Stochastic Differential Games: A Sampling Approach via FBSDEs. Dyn. Games Appl. 9(2): 486-505 (2019) - [j13]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Vision-Based High-Speed Driving With a Deep Dynamic Observer. IEEE Robotics Autom. Lett. 4(2): 1564-1571 (2019) - [j12]George I. Boutselis, Yunpeng Pan, Evangelos A. Theodorou:
Numerical Trajectory Optimization for Stochastic Mechanical Systems. SIAM J. Sci. Comput. 41(4): A2065-A2087 (2019) - [j11]Kaivalya Bakshi, Piyush Grover, Evangelos A. Theodorou:
On Mean Field Games for Agents With Langevin Dynamics. IEEE Trans. Control. Netw. Syst. 6(4): 1451-1460 (2019) - 2018
- [j10]Ioannis Exarchos, Evangelos A. Theodorou:
Stochastic optimal control via forward and backward stochastic differential equations and importance sampling. Autom. 87: 159-165 (2018) - [j9]Ioannis Exarchos, Evangelos A. Theodorou, Panagiotis Tsiotras:
Stochastic L1-optimal control via forward and backward sampling. Syst. Control. Lett. 118: 101-108 (2018) - [j8]Yunpeng Pan, George I. Boutselis, Evangelos A. Theodorou:
Efficient Reinforcement Learning via Probabilistic Trajectory Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5459-5474 (2018) - [j7]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. IEEE Trans. Robotics 34(6): 1603-1622 (2018) - 2015
- [j6]Evangelos A. Theodorou:
Nonlinear Stochastic Control and Information Theoretic Dualities: Connections, Interdependencies and Thermodynamic Interpretations. Entropy 17(5): 3352-3375 (2015) - 2013
- [j5]Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal:
From dynamic movement primitives to associative skill memories. Robotics Auton. Syst. 61(4): 351-361 (2013) - 2012
- [j4]Freek Stulp, Jonas Buchli, Alice Ellmer, Michael N. Mistry, Evangelos A. Theodorou, Stefan Schaal:
Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments. IEEE Trans. Auton. Ment. Dev. 4(4): 330-341 (2012) - [j3]Freek Stulp, Evangelos A. Theodorou, Stefan Schaal:
Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation. IEEE Trans. Robotics 28(6): 1360-1370 (2012) - 2011
- [j2]Jonas Buchli, Freek Stulp, Evangelos A. Theodorou, Stefan Schaal:
Learning variable impedance control. Int. J. Robotics Res. 30(7): 820-833 (2011) - 2010
- [j1]Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal:
A Generalized Path Integral Control Approach to Reinforcement Learning. J. Mach. Learn. Res. 11: 3137-3181 (2010)
Conference and Workshop Papers
- 2024
- [c125]Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Joshua M. Susskind, Shuangfei Zhai:
Generative Modeling with Phase Stochastic Bridge. ICLR 2024 - [c124]Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen:
Generalized Schrödinger Bridge Matching. ICLR 2024 - [c123]Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Augustinos D. Saravanos, Evangelos A. Theodorou:
A robust differential Neural ODE Optimizer. ICLR 2024 - [c122]Yuichiro Aoyama, Amin Haeri, Evangelos A. Theodorou:
Optimal Control of Granular Material. ICRA 2024: 13234-13241 - 2023
- [c121]Joshua E. Kuperman, Hassan Almubarak, Augustinos D. Saravanos, Evangelos A. Theodorou:
Improved Exploration for Safety-Embedded Differential Dynamic Programming Using Tolerant Barrier States. ICAR 2023: 183-190 - [c120]Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar:
I2SB: Image-to-Image Schrödinger Bridge. ICML 2023: 22042-22062 - [c119]Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou:
MPOGames: Efficient Multimodal Partially Observable Dynamic Games. ICRA 2023: 3189-3196 - [c118]Jason Gibson, Bogdan I. Vlahov, David D. Fan, Patrick Spieler, Daniel Pastor, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments. ICRA 2023: 7959-7965 - [c117]Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos A. Theodorou:
Deep Momentum Multi-Marginal Schrödinger Bridge. NeurIPS 2023 - [c116]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao:
Mirror Diffusion Models for Constrained and Watermarked Generation. NeurIPS 2023 - [c115]Augustinos D. Saravanos, Yihui Li, Evangelos A. Theodorou:
Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems. Robotics: Science and Systems 2023 - 2022
- [c114]Isin M. Balci, Efstathios Bakolas, Bogdan I. Vlahov, Evangelos A. Theodorou:
Constrained Covariance Steering Based Tube-MPPI. ACC 2022: 4197-4202 - [c113]Hassan Almubarak, Evangelos A. Theodorou, Nader Sadegh:
Barrier States Embedded Iterative Dynamic Game for Robust and Safe Trajectory Optimization. ACC 2022: 5166-5172 - [c112]Tianrong Chen, Ziyi Wang, Evangelos A. Theodorou:
Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control. CDC 2022: 4652-4659 - [c111]Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou:
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory. ICLR 2022 - [c110]Kyle Stachowicz, Evangelos A. Theodorou:
Optimal-Horizon Model Predictive Control with Differential Dynamic Programming. ICRA 2022: 1440-1446 - [c109]Ji Yin, Zhiyuan Zhang, Evangelos A. Theodorou, Panagiotis Tsiotras:
Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering. ICRA 2022: 1478-1484 - [c108]Oswin So, Ziyi Wang, Evangelos A. Theodorou:
Maximum Entropy Differential Dynamic Programming. ICRA 2022: 3422-3428 - [c107]Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae:
Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. IROS 2022: 7635-7642 - [c106]Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou:
Deep Generalized Schrödinger Bridge. NeurIPS 2022 - [c105]Alex Oshin, Matthew D. Houghton, Michael J. Acheson, Irene M. Gregory, Evangelos A. Theodorou:
Parameterized Differential Dynamic Programming. Robotics: Science and Systems 2022 - [c104]Marcus A. Pereira, Augustinos D. Saravanos, Oswin So, Evangelos A. Theodorou:
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM. Robotics: Science and Systems 2022 - 2021
- [c103]Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris:
Cooperative Path Integral Control for Stochastic Multi-Agent Systems. ACC 2021: 1262-1267 - [c102]Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou:
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. ACC 2021: 1334-1339 - [c101]Kelsey P. Hawkins, Ali Pakniyat, Evangelos A. Theodorou, Panagiotis Tsiotras:
Forward-Backward Rapidly-Exploring Random Trees for Stochastic Optimal Control. CDC 2021: 912-917 - [c100]Yuichiro Aoyama, Augustinos D. Saravanos, Evangelos A. Theodorou:
Receding Horizon Differential Dynamic Programming Under Parametric Uncertainty. CDC 2021: 3761-3767 - [c99]Hassan Almubarak, Evangelos A. Theodorou, Nader Sadegh:
HJB Based Optimal Safe Control using Control Barrier Functions. CDC 2021: 6829-6834 - [c98]Ioannis Exarchos, Marcus Aloysius Pereira, Ziyi Wang, Evangelos A. Theodorou:
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control. ICLR 2021 - [c97]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
DDPNOpt: Differential Dynamic Programming Neural Optimizer. ICLR 2021 - [c96]Tianrong Chen, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Large-Scale Multi-Agent Deep FBSDEs. ICML 2021: 1740-1748 - [c95]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
Dynamic Game Theoretic Neural Optimizer. ICML 2021: 6759-6769 - [c94]Yuichiro Aoyama, George I. Boutselis, Akash Patel, Evangelos A. Theodorou:
Constrained Differential Dynamic Programming Revisited. ICRA 2021: 9738-9744 - [c93]Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. ICRA 2021: 10793-10799 - [c92]Ziyi Wang, Oswin So, Keuntaek Lee, Evangelos A. Theodorou:
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search. L4DC 2021: 510-522 - [c91]Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou:
Contraction ℒ1-Adaptive Control using Gaussian Processes. L4DC 2021: 1027-1040 - [c90]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
Second-Order Neural ODE Optimizer. NeurIPS 2021: 25267-25279 - [c89]Augustinos D. Saravanos, Alexandros Tsolovikos, Efstathios Bakolas, Evangelos A. Theodorou:
Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems. Robotics: Science and Systems 2021 - [c88]Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan Gandhi, Guan-Horng Liu, Evangelos A. Theodorou:
Variational Inference MPC using Tsallis Divergence. Robotics: Science and Systems 2021 - 2020
- [c87]Zeji Yi, Zhefeng Cao, Evangelos A. Theodorou, Yongxin Chen:
Nonlinear Covariance Control via Differential Dynamic Programming. ACC 2020: 3571-3576 - [c86]Kaivalya Bakshi, Evangelos A. Theodorou, Piyush Grover:
Stabilizing Optimal Density Control of Nonlinear Agents with Multiplicative Noise. CDC 2020: 3054-3059 - [c85]Marcus Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs. CoRL 2020: 1783-1801 - [c84]Emily A. Reed, Marcus A. Pereira, Francisco J. Valero Cuevas, Evangelos A. Theodorou:
Sampling-Based Nonlinear Stochastic Optimal Control for Neuromechanical Systems. EMBC 2020: 4694-4699 - [c83]George I. Boutselis, Ziyi Wang, Evangelos A. Theodorou:
Constrained Sampling-based Trajectory Optimization using Stochastic Approximation. ICRA 2020: 2522-2528 - [c82]David D. Fan, Jennifer Nguyen, Rohan Thakker, Nikhilesh Alatur, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Bayesian Learning-Based Adaptive Control for Safety Critical Systems. ICRA 2020: 4093-4099 - [c81]Jintasit Pravitra, Kasey A. Ackerman, Chengyu Cao, Naira Hovakimyan, Evangelos A. Theodorou:
ℒ1-Adaptive MPPI Architecture for Robust and Agile Control of Multirotors. IROS 2020: 7661-7666 - [c80]Marcus Pereira, Ziyi Wang, Tianrong Chen, Emily A. Reed, Evangelos A. Theodorou:
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory. L4DC 2020: 728-738 - [c79]Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou:
L1-GP: L1 Adaptive Control with Bayesian Learning. L4DC 2020: 826-837 - [c78]Ethan N. Evans, Andrew P. Kendall, George I. Boutselis, Evangelos A. Theodorou:
Spatio-Temporal Stochastic Optimization: Theory and Applications to Optimal Control and Co-Design. Robotics: Science and Systems 2020 - [c77]David D. Fan, Ali Agha, Evangelos A. Theodorou:
Deep Learning Tubes for Tube MPC. Robotics: Science and Systems 2020 - 2019
- [c76]Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Accelerating Imitation Learning with Predictive Models. AISTATS 2019: 3187-3196 - [c75]Ziyi Wang, Grady Williams, Evangelos A. Theodorou:
Information Theoretic Model Predictive Control on Jump Diffusion Processes. ACC 2019: 1663-1670 - [c74]Ziyi Wang, Keuntaek Lee, Marcus A. Pereira, Ioannis Exarchos, Evangelos A. Theodorou:
Deep Forward-Backward SDEs for Min-max Control. CDC 2019: 6807-6814 - [c73]Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov, Evangelos A. Theodorou:
Perceptual Attention-based Predictive Control. CoRL 2019: 220-232 - [c72]Grady R. Williams, Brian Goldfain, Keuntaek Lee, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control. CoRL 2019: 969-978 - [c71]Ethan N. Evans, Marcus A. Pereira, George I. Boutselis, Evangelos A. Theodorou:
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems. CoRL 2019: 1231-1246 - [c70]Evangelos A. Theodorou:
The Science of Autonomy: A Holistic View at the Intersection of Learning, Control and Physics. ICINCO (1) 2019: 18 - [c69]Keuntaek Lee, Ziyi Wang, Bogdan I. Vlahov, Harleen K. Brar, Evangelos A. Theodorou:
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies. ICMLA 2019: 831-837 - [c68]Munzir Zafar, Seth Hutchinson, Evangelos A. Theodorou:
Hierarchical optimization for Whole-Body Control of Wheeled Inverted Pendulum Humanoids. ICRA 2019: 7535-7542 - [c67]Keuntaek Lee, Kamil Saigol, Evangelos A. Theodorou:
Early Failure Detection of Deep End-to-End Control Policy by Reinforcement Learning. ICRA 2019: 8543-8549 - [c66]David D. Fan, Rohan Thakker, Tara Bartlett, Meriem Ben Miled, Leon Kim, Evangelos A. Theodorou, Ali-akbar Agha-mohammadi:
Autonomous Hybrid Ground/Aerial Mobility in Unknown Environments. IROS 2019: 3070-3077 - [c65]Ziyi Wang, Marcus Pereira, Evangelos A. Theodorou:
Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs. Robotics: Science and Systems 2019 - 2018
- [c64]Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song:
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop. AISTATS 2018: 1077-1086 - [c63]Ethan N. Evans, Wassim M. Haddad, Evangelos A. Theodorou:
A Fixed-Architecture Framework for Stochastic Nonlinear Controller Synthesis. ACC 2018: 4694-4699 - [c62]Evangelos A. Theodorou, George I. Boutselis, Kaivalya Bakshi:
Linearly Solvable Stochastic Optimal Control for Infinite-Dimensional Systems. CDC 2018: 4110-4116 - [c61]George I. Boutselis, Evangelos A. Theodorou:
Path Integral Control on Lie Groups. CDC 2018: 4990-4995 - [c60]Harleen K. Brar, Ioannis Exarchos, Yunpeng Pan, Evangelos A. Theodorou, Babak Mahmoudi:
Seizure Reduction using Model Predictive Control. EMBC 2018: 3152-3155 - [c59]Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou:
Best Response Model Predictive Control for Agile Interactions Between Autonomous Ground Vehicles. ICRA 2018: 2403-2410 - [c58]Li Wang, Evangelos A. Theodorou, Magnus Egerstedt:
Safe Learning of Quadrotor Dynamics Using Barrier Certificates. ICRA 2018: 2460-2465 - [c57]Munzir Zafar, Areeb Mehmood, Mouhyemen Khan, Shimin Zhang, Muhammad Ali Murtaza, Victor Aladele, Evangelos A. Theodorou, Seth Hutchinson, Byron Boots:
Semi-parametric Approaches to Learning in Model-Based Hierarchical Control of Complex Systems. ISER 2018: 387-397 - [c56]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Agile Autonomous Driving using End-to-End Deep Imitation Learning. Robotics: Science and Systems 2018 - [c55]Grady Williams, Brian Goldfain, Paul Drews, Kamil Saigol, James M. Rehg, Evangelos A. Theodorou:
Robust Sampling Based Model Predictive Control with Sparse Objective Information. Robotics: Science and Systems 2018 - [c54]David D. Fan, Evangelos A. Theodorou, John Reeder:
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms. SSCI 2018: 2216-2222 - 2017
- [c53]Kaivalya S. Bakshi, David D. Fan, Evangelos A. Theodorou:
Stochastic control of systems with control multiplicative noise using second order FBSDEs. ACC 2017: 424-431 - [c52]Yunpeng Pan, Kamil Saigol, Evangelos A. Theodorou:
Belief space stochastic control under unknown dynamics. ACC 2017: 3764-3770 - [c51]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control. CoRL 2017: 133-142 - [c50]David D. Fan, Evangelos A. Theodorou, John Reeder:
Evolving cost functions for model predictive control of multi-agent UAV combat swarms. GECCO (Companion) 2017: 55-56 - [c49]Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control. ICML 2017: 2760-2768 - [c48]Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song:
Variational Policy for Guiding Point Processes. ICML 2017: 3684-3693 - [c47]Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou:
Information theoretic MPC for model-based reinforcement learning. ICRA 2017: 1714-1721 - [c46]Manan Gandhi, Kamil Saigol, Yunpeng Pan, Evangelos A. Theodorou:
Model predictive PseudoSpectral Optimal Control with semi-parametric dynamics. SSCI 2017: 1-8 - 2016
- [c45]Ioannis Exarchos, Evangelos A. Theodorou:
Learning optimal control via forward and backward stochastic differential equations. ACC 2016: 2155-2161 - [c44]Tanmay Rajpurohit, Wassim M. Haddad, Evangelos A. Theodorou:
Nonlinear-nonquadratic optimal and inverse optimal control for stochastic dynamical systems. ACC 2016: 6568-6573 - [c43]George I. Boutselis, Gerardo De La Torre, Evangelos A. Theodorou:
Stochastic Optimal Control using polynomial chaos variational integrators. ACC 2016: 6586-6591 - [c42]David D. Fan, Evangelos A. Theodorou:
Differential Dynamic Programming for time-delayed systems. CDC 2016: 573-579 - [c41]Kaivalya Bakshi, Evangelos A. Theodorou:
Infinite dimensional control of doubly stochastic Jump Diffusions. CDC 2016: 1145-1152 - [c40]George I. Boutselis, Evangelos A. Theodorou:
Spectral variational integrators for trajectory optimization under parametric uncertainties and stochastic disturbances. CDC 2016: 2016-2022 - [c39]Ioannis Exarchos, Evangelos A. Theodorou, Panagiotis Tsiotras:
Game-theoretic and risk-sensitive stochastic optimal control via forward and backward stochastic differential equations. CDC 2016: 6154-6160 - [c38]Wei Sun, Evangelos A. Theodorou, Panagiotis Tsiotras:
Stochastic Game Theoretic trajectory optimization in continuous time. CDC 2016: 6167-6172 - [c37]Harleen K. Brar, Yunpeng Pan, Babak Mahmoudi, Evangelos A. Theodorou:
Cross-entropy optimization for neuromodulation. EMBC 2016: 6357-6360 - [c36]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Aggressive driving with model predictive path integral control. ICRA 2016: 1433-1440 - 2015
- [c35]Yunpeng Pan, Evangelos A. Theodorou:
Data-driven differential dynamic programming using Gaussian processes. ACC 2015: 4467-4472 - [c34]Wei Sun, Evangelos A. Theodorou, Panagiotis Tsiotras:
Game Theoretic continuous time Differential Dynamic Programming. ACC 2015: 5593-5598 - [c33]Yunpeng Pan, Evangelos A. Theodorou, Michail Kontitsis:
Sample Efficient Path Integral Control under Uncertainty. NIPS 2015: 2314-2322 - [c32]Yunpeng Pan, Evangelos A. Theodorou, Kaivalya Bakshi:
Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach. Robotics: Science and Systems 2015 - 2014
- [c31]Oktay Arslan, Evangelos A. Theodorou, Panagiotis Tsiotras:
Information-theoretic stochastic optimal control via incremental sampling-based algorithms. ADPRL 2014: 1-8 - [c30]Yunpeng Pan, Evangelos A. Theodorou:
Nonparametric infinite horizon Kullback-Leibler stochastic control. ADPRL 2014: 1-8 - [c29]Wei Sun, Evangelos A. Theodorou, Panagiotis Tsiotras:
Continuous-time differential dynamic programming with terminal constraints. ADPRL 2014: 1-6 - [c28]Yunpeng Pan, Evangelos A. Theodorou:
Probabilistic Differential Dynamic Programming. NIPS 2014: 1907-1915 - 2013
- [c27]Evangelos A. Theodorou, Jiri Najemnik, Emanuel Todorov:
Free energy based policy gradients. ADPRL 2013: 124-131 - [c26]Michail Kontitsis, Evangelos A. Theodorou, Emanuel Todorov:
Multi-robot active SLAM with relative entropy optimization. ACC 2013: 2757-2764 - [c25]Evangelos A. Theodorou, Emo Todorov:
The δ - sensitivity and its application to stochastic optimal control of nonlinear diffusions. ACC 2013: 4209-4214 - [c24]Krishnamurthy Dvijotham, Evangelos A. Theodorou, Emanuel Todorov, Maryam Fazel:
Convexity of optimal linear controller design. CDC 2013: 2477-2482 - [c23]Evangelos A. Theodorou, Krishnamurthy Dvijotham, Emo Todorov:
Time varying nonlinear Policy Gradients. CDC 2013: 7765-7770 - 2012
- [c22]Evangelos A. Theodorou, Emanuel Todorov:
Stochastic optimal control for nonlinear markov jump diffusion processes. ACC 2012: 1633-1639 - [c21]Evangelos A. Theodorou, Emanuel Todorov:
Relative entropy and free energy dualities: Connections to Path Integral and KL control. CDC 2012: 1466-1473 - [c20]Eric Rombokas, Evangelos A. Theodorou, Mark Malhotra, Emo Todorov, Yoky Matsuoka:
Tendon-driven control of biomechanical and robotic systems: A path integral reinforcement learning approach. ICRA 2012: 208-214 - [c19]Mark Malhotra, Eric Rombokas, Evangelos A. Theodorou, Emanuel Todorov, Yoky Matsuoka:
Reduced dimensionality control for the ACT hand. ICRA 2012: 5117-5122 - [c18]Eric Rombokas, Mark Malhotra, Evangelos A. Theodorou, Yoky Matsuoka, Emo Todorov:
Tendon-Driven Variable Impedance Control Using Reinforcement Learning. Robotics: Science and Systems 2012 - [c17]Franziska Meier, Evangelos A. Theodorou, Stefan Schaal:
Movement Segmentation and Recognition for Imitation Learning. AISTATS 2012: 761-769 - 2011
- [c16]Daniel A. Braun, Pedro A. Ortega, Evangelos A. Theodorou, Stefan Schaal:
Path integral control and bounded rationality. ADPRL 2011: 202-209 - [c15]Evangelos A. Theodorou, Emanuel Todorov, Francisco J. Valero Cuevas:
Neuromuscular stochastic optimal control of a tendon driven index finger model. ACC 2011: 348-355 - [c14]Freek Stulp, Jonas Buchli, Alice Ellmer, Michael N. Mistry, Evangelos A. Theodorou, Stefan Schaal:
Reinforcement learning of impedance control in stochastic force fields. ICDL-EPIROB 2011: 1-6 - [c13]Peter Pastor, Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Stefan Schaal:
Skill learning and task outcome prediction for manipulation. ICRA 2011: 3828-3834 - [c12]Mrinal Kalakrishnan, Sachin Chitta, Evangelos A. Theodorou, Peter Pastor, Stefan Schaal:
STOMP: Stochastic trajectory optimization for motion planning. ICRA 2011: 4569-4574 - [c11]Freek Stulp, Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal:
Learning to grasp under uncertainty. ICRA 2011: 5703-5708 - [c10]Freek Stulp, Evangelos A. Theodorou, Mrinal Kalakrishnan, Peter Pastor, Ludovic Righetti, Stefan Schaal:
Learning motion primitive goals for robust manipulation. IROS 2011: 325-331 - [c9]Franziska Meier, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal:
Movement segmentation using a primitive library. IROS 2011: 3407-3412 - 2010
- [c8]Evangelos A. Theodorou, Yuval Tassa, Emo Todorov:
Stochastic Differential Dynamic Programming. ACC 2010: 1125-1132 - [c7]Freek Stulp, Jonas Buchli, Evangelos A. Theodorou, Stefan Schaal:
Reinforcement learning of full-body humanoid motor skills. Humanoids 2010: 405-410 - [c6]Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal:
Reinforcement learning of motor skills in high dimensions: A path integral approach. ICRA 2010: 2397-2403 - [c5]Jonas Buchli, Evangelos A. Theodorou, Freek Stulp, Stefan Schaal:
Variable Impedance Control - A Reinforcement Learning Approach. Robotics: Science and Systems 2010 - [c4]Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal:
Learning Policy Improvements with Path Integrals. AISTATS 2010: 828-835 - 2009
- [c3]Evangelos A. Theodorou, Jonas Buchli, Stefan Schaal:
Path integral-based stochastic optimal control for rigid body dynamics. ADPRL 2009: 219-225 - 2007
- [c2]Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal:
Learning an Outlier-Robust Kalman Filter. ECML 2007: 748-756 - [c1]Jo-Anne Ting, Evangelos A. Theodorou, Stefan Schaal:
A Kalman filter for robust outlier detection. IROS 2007: 1514-1519
Informal and Other Publications
- 2024
- [i100]Arshiya Taj Abdul, Augustinos D. Saravanos, Evangelos A. Theodorou:
Scaling Robust Optimization for Multi-Agent Robotic Systems: A Distributed Perspective. CoRR abs/2402.16227 (2024) - [i99]Yuichiro Aoyama, Evangelos A. Theodorou:
Generalized Maximum Entropy Differential Dynamic Programming. CoRR abs/2403.18130 (2024) - [i98]Bogdan I. Vlahov, Jason Gibson, David D. Fan, Patrick Spieler, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Low Frequency Sampling in Model Predictive Path Integral Control. CoRR abs/2404.03094 (2024) - [i97]Yuchen Zhu, Tianrong Chen, Evangelos A. Theodorou, Xie Chen, Molei Tao:
Quantum State Generation with Structure-Preserving Diffusion Model. CoRR abs/2404.06336 (2024) - [i96]Chenru Duan, Guan-Horng Liu, Yuanqi Du, Tianrong Chen, Qiyuan Zhao, Haojun Jia, Carla P. Gomes, Evangelos A. Theodorou, Heather J. Kulik:
React-OT: Optimal Transport for Generating Transition State in Chemical Reactions. CoRR abs/2404.13430 (2024) - [i95]Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao:
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. CoRR abs/2405.16381 (2024) - [i94]Bogdan I. Vlahov, Jason Gibson, Manan Gandhi, Evangelos A. Theodorou:
MPPI-Generic: A CUDA Library for Stochastic Optimization. CoRR abs/2409.07563 (2024) - 2023
- [i93]Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar:
I2SB: Image-to-Image Schrödinger Bridge. CoRR abs/2302.05872 (2023) - [i92]Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos A. Theodorou:
Deep Momentum Multi-Marginal Schrödinger Bridge. CoRR abs/2303.01751 (2023) - [i91]Joshua E. Kuperman, Hassan Almubarak, Augustinos D. Saravanos, Evangelos A. Theodorou:
Improved Exploration for Safety-Embedded Differential Dynamic Programming Using Tolerant Barrier States. CoRR abs/2303.03360 (2023) - [i90]Manan Gandhi, Hassan Almubarak, Evangelos A. Theodorou:
Safe Importance Sampling in Model Predictive Path Integral Control. CoRR abs/2303.03441 (2023) - [i89]Jason Gibson, Bogdan I. Vlahov, David D. Fan, Patrick Spieler, Daniel Pastor, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments. CoRR abs/2305.02241 (2023) - [i88]Augustinos D. Saravanos, Yihui Li, Evangelos A. Theodorou:
Distributed Hierarchical Distribution Control for Very-Large-Scale Clustered Multi-Agent Systems. CoRR abs/2305.18718 (2023) - [i87]Alex Oshin, Evangelos A. Theodorou:
Differentiable Robust Model Predictive Control. CoRR abs/2308.08426 (2023) - [i86]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Molei Tao:
Mirror Diffusion Models for Constrained and Watermarked Generation. CoRR abs/2310.01236 (2023) - [i85]Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen:
Generalized Schrödinger Bridge Matching. CoRR abs/2310.02233 (2023) - [i84]Hassan Almubarak, Nader Sadegh, Evangelos A. Theodorou:
Barrier States Theory for Safety-Critical Multi-Objective Control. CoRR abs/2310.07022 (2023) - [i83]Tianrong Chen, Jiatao Gu, Laurent Dinh, Evangelos A. Theodorou, Josh M. Susskind, Shuangfei Zhai:
Generative Modeling with Phase Stochastic Bridges. CoRR abs/2310.07805 (2023) - [i82]Valentin De Bortoli, Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou, Weilie Nie:
Augmented Bridge Matching. CoRR abs/2311.06978 (2023) - 2022
- [i81]Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae:
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning. CoRR abs/2201.06539 (2022) - [i80]Oswin So, Kyle Stachowicz, Evangelos A. Theodorou:
Multimodal Maximum Entropy Dynamic Games. CoRR abs/2201.12925 (2022) - [i79]Marcus A. Pereira, Augustinos D. Saravanos, Oswin So, Evangelos A. Theodorou:
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM. CoRR abs/2202.10658 (2022) - [i78]Tianrong Chen, Ziyi Wang, Evangelos A. Theodorou:
Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control. CoRR abs/2204.02506 (2022) - [i77]Alex Oshin, Matthew D. Houghton, Michael J. Acheson, Irene M. Gregory, Evangelos A. Theodorou:
Parameterized Differential Dynamic Programming. CoRR abs/2204.03727 (2022) - [i76]Manan Gandhi, Hassan Almubarak, Yuichiro Aoyama, Evangelos A. Theodorou:
Safety in Augmented Importance Sampling: Performance Bounds for Robust MPPI. CoRR abs/2204.05963 (2022) - [i75]Augustinos D. Saravanos, Yuichiro Aoyama, Hongchang Zhu, Evangelos A. Theodorou:
Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control. CoRR abs/2207.13255 (2022) - [i74]Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos A. Theodorou:
Deep Generalized Schrödinger Bridge. CoRR abs/2209.09893 (2022) - [i73]Oswin So, Gongjie Li, Evangelos A. Theodorou, Molei Tao:
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian. CoRR abs/2210.00090 (2022) - [i72]Oswin So, Paul Drews, Thomas Balch, Velin Dimitrov, Guy Rosman, Evangelos A. Theodorou:
MPOGames: Efficient Multimodal Partially Observable Dynamic Games. CoRR abs/2210.10814 (2022) - [i71]Hassan Almubarak, Manan Gandhi, Yuichiro Aoyama, Nader Sadegh, Evangelos A. Theodorou:
Gaussian Process Barrier States for Safe Trajectory Optimization and Control. CoRR abs/2212.00268 (2022) - [i70]Augustinos D. Saravanos, Isin M. Balci, Efstathios Bakolas, Evangelos A. Theodorou:
Distributed Model Predictive Covariance Steering. CoRR abs/2212.00398 (2022) - 2021
- [i69]Manan Gandhi, Bogdan I. Vlahov, Jason Gibson, Grady Williams, Evangelos A. Theodorou:
Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees. CoRR abs/2102.09027 (2021) - [i68]Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris:
Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems. CoRR abs/2102.09104 (2021) - [i67]Ethan N. Evans, Andrew P. Kendall, Evangelos A. Theodorou:
Stochastic Spatio-Temporal Optimization for Control and Co-Design of Systems in Robotics and Applied Physics. CoRR abs/2102.09144 (2021) - [i66]Hassan Almubarak, Nader Sadegh, Evangelos A. Theodorou:
Safety Embedded Control of Nonlinear Systems via Barrier States. CoRR abs/2102.10253 (2021) - [i65]Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan S. Gandhi, Guan-Horng Liu, Evangelos A. Theodorou:
Variational Inference MPC using Tsallis Divergence. CoRR abs/2104.00241 (2021) - [i64]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
Dynamic Game Theoretic Neural Optimizer. CoRR abs/2105.03788 (2021) - [i63]Hassan Almubarak, Kyle Stachowicz, Nader Sadegh, Evangelos A. Theodorou:
Safety Embedded Differential Dynamic Programming using Discrete Barrier States. CoRR abs/2105.14608 (2021) - [i62]Hassan Almubarak, Evangelos A. Theodorou, Nader Sadegh:
HJB Based Optimal Safe Control using Control Barrier Functions. CoRR abs/2106.15560 (2021) - [i61]David D. Fan, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Learning Risk-aware Costmaps for Traversability in Challenging Environments. CoRR abs/2107.11722 (2021) - [i60]Marcus A. Pereira, Camilo A. Duarte, Ioannis Exarchos, Evangelos A. Theodorou:
Deep L1 Stochastic Optimal Control Policies for Planetary Soft-landing. CoRR abs/2109.00183 (2021) - [i59]Lin Song, Neng Wan, Aditya Gahlawat, Chuyuan Tao, Naira Hovakimyan, Evangelos A. Theodorou:
Generalization of Safe Optimal Control Actions on Networked Multi-Agent Systems. CoRR abs/2109.09909 (2021) - [i58]Ji Yin, Zhiyuan Zhang, Evangelos A. Theodorou, Panagiotis Tsiotras:
Improving Model Predictive Path Integral using Covariance Steering. CoRR abs/2109.12147 (2021) - [i57]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
Second-Order Neural ODE Optimizer. CoRR abs/2109.14158 (2021) - [i56]Oswin So, Ziyi Wang, Evangelos A. Theodorou:
Maximum Entropy Differential Dynamic Programming. CoRR abs/2110.06451 (2021) - [i55]Isin M. Balci, Efstathios Bakolas, Bogdan I. Vlahov, Evangelos A. Theodorou:
Constrained Covariance Steering Based Tube-MPPI. CoRR abs/2110.07744 (2021) - [i54]Tianrong Chen, Guan-Horng Liu, Evangelos A. Theodorou:
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory. CoRR abs/2110.11291 (2021) - [i53]Hassan Almubarak, Evangelos A. Theodorou, Nader Sadegh:
Barrier States Embedded Iterative Dynamic Game for Robust and Safe Trajectory Optimization. CoRR abs/2111.02979 (2021) - [i52]Kyle Stachowicz, Evangelos A. Theodorou:
Optimal-Horizon Model-Predictive Control with Differential Dynamic Programming. CoRR abs/2111.09207 (2021) - 2020
- [i51]Keuntaek Lee, Jason Gibson, Evangelos A. Theodorou:
Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC. CoRR abs/2001.02307 (2020) - [i50]David D. Fan, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Deep Learning Tubes for Tube MPC. CoRR abs/2002.01587 (2020) - [i49]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
Differential Dynamic Programming Neural Optimizer. CoRR abs/2002.08809 (2020) - [i48]Jintasit Pravitra, Kasey A. Ackerman, Chengyu Cao, Naira Hovakimyan, Evangelos A. Theodorou:
L1-Adaptive MPPI Architecture for Robust and Agile Control of Multirotors. CoRR abs/2004.00152 (2020) - [i47]Meenakshi Sarkar, Debasish Ghose, Evangelos A. Theodorou:
High-Relative Degree Stochastic Control Lyapunov and Barrier Functions. CoRR abs/2004.03856 (2020) - [i46]Keuntaek Lee, Bogdan I. Vlahov, Jason Gibson, James M. Rehg, Evangelos A. Theodorou:
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning. CoRR abs/2004.08051 (2020) - [i45]Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos A. Theodorou:
$\mathcal{L}_1$-$\mathcal{GP}$: $\mathcal{L}_1$ Adaptive Control with Bayesian Learning. CoRR abs/2004.14594 (2020) - [i44]Ioannis Exarchos, Marcus A. Pereira, Ziyi Wang, Evangelos A. Theodorou:
Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control. CoRR abs/2006.11992 (2020) - [i43]Kelsey P. Hawkins, Ali Pakniyat, Evangelos A. Theodorou, Panagiotis Tsiotras:
Forward-Backward RRT: Branched Sampled FBSDEs for Stochastic Optimal Control. CoRR abs/2006.12444 (2020) - [i42]Guan-Horng Liu, Tianrong Chen, Evangelos A. Theodorou:
A Differential Game Theoretic Neural Optimizer for Training Residual Networks. CoRR abs/2007.08880 (2020) - [i41]Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou:
Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search. CoRR abs/2009.01090 (2020) - [i40]Marcus Aloysius Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs. CoRR abs/2009.01196 (2020) - [i39]Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou:
RL1-GP: Safe Simultaneous Learning and Control. CoRR abs/2009.03864 (2020) - [i38]David D. Fan, Rohan Thakker, Tara Bartlett, Meriem Ben Miled, Leon Kim, Evangelos A. Theodorou, Ali-akbar Agha-mohammadi:
Autonomous Hybrid Ground/Aerial Mobility in Unknown Environments. CoRR abs/2009.05631 (2020) - [i37]Lin Song, Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou:
Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems. CoRR abs/2009.13609 (2020) - [i36]Neng Wan, Aditya Gahlawat, Naira Hovakimyan, Evangelos A. Theodorou, Petros G. Voulgaris:
Cooperative Path Integral Control for Stochastic Multi-Agent Systems. CoRR abs/2009.14775 (2020) - [i35]Tianrong Chen, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games. CoRR abs/2011.10890 (2020) - [i34]Yanbing Mao, Naira Hovakimyan, Tarek F. Abdelzaher, Evangelos A. Theodorou:
Social System Inference from Noisy Observations. CoRR abs/2012.03075 (2020) - 2019
- [i33]Marcus Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou:
Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma. CoRR abs/1902.03986 (2019) - [i32]Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov, Evangelos A. Theodorou:
Perceptual Attention-based Predictive Control. CoRR abs/1904.11898 (2019) - [i31]Grady Williams, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics. CoRR abs/1905.05162 (2019) - [i30]Ziyi Wang, Marcus A. Pereira, Evangelos A. Theodorou:
Deep 2FBSDEs for Systems with Control Multiplicative Noise. CoRR abs/1906.04762 (2019) - [i29]Ziyi Wang, Keuntaek Lee, Marcus A. Pereira, Ioannis Exarchos, Evangelos A. Theodorou:
Deep Forward-Backward SDEs for Min-max Control. CoRR abs/1906.04771 (2019) - [i28]Guan-Horng Liu, Evangelos A. Theodorou:
Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective. CoRR abs/1908.10920 (2019) - [i27]David D. Fan, Jennifer Nguyen, Rohan Thakker, Nikhilesh Alatur, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou:
Bayesian Learning-Based Adaptive Control for Safety Critical Systems. CoRR abs/1910.02325 (2019) - [i26]Zeji Yi, Zhefeng Cao, Evangelos A. Theodorou, Yongxin Chen:
Nonlinear Covariance Control via Differential Dynamic Programming. CoRR abs/1911.09283 (2019) - 2018
- [i25]Marcus Pereira, David D. Fan, Gabriel Nakajima An, Evangelos A. Theodorou:
MPC-Inspired Neural Network Policies for Sequential Decision Making. CoRR abs/1802.05803 (2018) - [i24]David D. Fan, Evangelos A. Theodorou, John Reeder:
Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms. CoRR abs/1803.01106 (2018) - [i23]Piyush Grover, Kaivalya Bakshi, Evangelos A. Theodorou:
A mean-field game model for homogeneous flocking. CoRR abs/1803.05250 (2018) - [i22]Keuntaek Lee, Kamil Saigol, Evangelos A. Theodorou:
Safe end-to-end imitation learning for model predictive control. CoRR abs/1803.10231 (2018) - [i21]Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Model-Based Imitation Learning with Accelerated Convergence. CoRR abs/1806.04642 (2018) - [i20]Manan Gandhi, Keuntaek Lee, Yunpeng Pan, Evangelos A. Theodorou:
Propagating Uncertainty through the tanh Function with Application to Reservoir Computing. CoRR abs/1806.09431 (2018) - [i19]Munzir Zafar, Seth Hutchinson, Evangelos A. Theodorou:
Hierarchical Optimization for Whole-Body Control of Wheeled Inverted Pendulum Humanoids. CoRR abs/1810.03074 (2018) - [i18]Keuntaek Lee, Ziyi Wang, Bogdan I. Vlahov, Harleen K. Brar, Evangelos A. Theodorou:
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies. CoRR abs/1811.12555 (2018) - [i17]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Vision-Based High Speed Driving with a Deep Dynamic Observer. CoRR abs/1812.02071 (2018) - 2017
- [i16]David D. Fan, Evangelos A. Theodorou:
Differential Dynamic Programming for time-delayed systems. CoRR abs/1701.01882 (2017) - [i15]Yichen Wang, Grady Williams, Evangelos A. Theodorou, Le Song:
A Unifying Framework for Guiding Point Processes with Stochastic Intensity Functions. CoRR abs/1701.08585 (2017) - [i14]Grady Williams, Paul Drews, Brian Goldfain, James M. Rehg, Evangelos A. Theodorou:
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving. CoRR abs/1707.02342 (2017) - [i13]Grady Williams, Brian Goldfain, Paul Drews, James M. Rehg, Evangelos A. Theodorou:
Autonomous Racing with AutoRally Vehicles and Differential Games. CoRR abs/1707.04540 (2017) - [i12]Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg:
Aggressive Deep Driving: Model Predictive Control with a CNN Cost Model. CoRR abs/1707.05303 (2017) - [i11]Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning. CoRR abs/1709.07174 (2017) - [i10]Li Wang, Evangelos A. Theodorou, Magnus Egerstedt:
Safe Learning of Quadrotor Dynamics Using Barrier Certificates. CoRR abs/1710.05472 (2017) - 2016
- [i9]Yichen Wang, Evangelos A. Theodorou, Apurv Verma, Le Song:
Steering Opinion Dynamics in Information Diffusion Networks. CoRR abs/1603.09021 (2016) - [i8]Yunpeng Pan, Xinyan Yan, Evangelos A. Theodorou, Byron Boots:
Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference. CoRR abs/1608.06235 (2016) - 2015
- [i7]Grady Williams, Andrew Aldrich, Evangelos A. Theodorou:
Model Predictive Path Integral Control using Covariance Variable Importance Sampling. CoRR abs/1509.01149 (2015) - [i6]Wei Sun, Evangelos A. Theodorou, Panagiotis Tsiotras:
Model Based Reinforcement Learning with Final Time Horizon Optimization. CoRR abs/1509.01186 (2015) - [i5]Yunpeng Pan, Evangelos A. Theodorou:
Sample Efficient Path Integral Control under Uncertainty. CoRR abs/1509.01846 (2015) - [i4]Ioannis Exarchos, Evangelos A. Theodorou:
Learning Optimal Control via Forward and Backward Stochastic Differential Equations. CoRR abs/1509.02195 (2015) - 2014
- [i3]Yunpeng Pan, Evangelos A. Theodorou:
Nonparametric Kullback-Leibler Stochastic Control. CoRR abs/1404.3984 (2014) - [i2]Oktay Arslan, Evangelos A. Theodorou, Panagiotis Tsiotras:
Information-Theoretic Stochastic Optimal Control via Incremental Sampling-based Algorithms. CoRR abs/1405.7392 (2014) - [i1]Yunpeng Pan, Evangelos A. Theodorou, Michail Kontitsis:
Model-based Path Integral Stochastic Control: A Bayesian Nonparametric Approach. CoRR abs/1412.3038 (2014)
Coauthor Index
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