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Publication search results
found 101 matches
- 2020
- Manish Goyal, Parasara Sridhar Duggirala:
NeuralExplorer: State Space Exploration of Closed Loop Control Systems Using Neural Networks. L4DC 2020: 697 - Mohammad Akbari, Bahman Gharesifard, Tamás Linder:
Riccati updates for online linear quadratic control. L4DC 2020: 476-485 - Donghwan Lee, Niao He:
Periodic Q-Learning. L4DC 2020: 582-598 - Hany Abdulsamad, Jan Peters:
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. L4DC 2020: 904-914 - Abulikemu Abuduweili, Changliu Liu:
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. L4DC 2020: 65-74 - Akshay Agrawal, Shane T. Barratt, Stephen P. Boyd, Bartolomeo Stellato:
Learning Convex Optimization Control Policies. L4DC 2020: 361-373 - Amir Ali Ahmadi, Bachir El Khadir:
Learning Dynamical Systems with Side Information. L4DC 2020: 718-727 - Ahmed Allibhoy, Jorge Cortés:
Data-Driven Distributed Predictive Control via Network Optimization. L4DC 2020: 838-839 - Sanae Amani, Mahnoosh Alizadeh, Christos Thrampoulidis:
Regret Bound for Safe Gaussian Process Bandit Optimization. L4DC 2020: 158-159 - Elena Arcari, Lukas Hewing, Max Schlichting, Melanie N. Zeilinger:
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. L4DC 2020: 894-903 - Joan Bas-Serrano, Gergely Neu:
Faster saddle-point optimization for solving large-scale Markov decision processes. L4DC 2020: 413-423 - Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions. L4DC 2020: 924-934 - Homanga Bharadhwaj, Kevin Xie, Florian Shkurti:
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization. L4DC 2020: 277-286 - Mohak Bhardwaj, Ankur Handa, Dieter Fox, Byron Boots:
Information Theoretic Model Predictive Q-Learning. L4DC 2020: 840-850 - Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. L4DC 2020: 85-94 - Angelo Domenico Bonzanini, Ali Mesbah:
Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty. L4DC 2020: 571-580 - Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. L4DC 2020: 640-650 - Mark Boyer:
Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models. L4DC 2020: 698-707 - Valentina Breschi, Simone Formentin:
Virtual Reference Feedback Tuning with data-driven reference model selection. L4DC 2020: 37-45 - Valentina Breschi, Simone Formentin:
Direct Data-Driven Control with Embedded Anti-Windup Compensation. L4DC 2020: 46-54 - Mona Buisson-Fenet, Friedrich Solowjow, Sebastian Trimpe:
Actively Learning Gaussian Process Dynamics. L4DC 2020: 5-15 - Monimoy Bujarbaruah, Charlott Vallon:
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint. L4DC 2020: 137-146 - Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche:
Localized active learning of Gaussian process state space models. L4DC 2020: 490-499 - Fernando Castañeda, Mathias Wulfman, Ayush Agrawal, Tyler Westenbroek, Shankar Sastry, Claire J. Tomlin, Koushil Sreenath:
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning. L4DC 2020: 990-999 - Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro:
Counterfactual Programming for Optimal Control. L4DC 2020: 235-244 - Peter Coppens, Mathijs Schuurmans, Panagiotis Patrinos:
Data-driven distributionally robust LQR with multiplicative noise. L4DC 2020: 521-530 - Sebastian Curi, Silvan Melchior, Felix Berkenkamp, Andreas Krause:
Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models. L4DC 2020: 147-157 - Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye:
Robust Guarantees for Perception-Based Control. L4DC 2020: 350-360 - Alex Devonport, Murat Arcak:
Estimating Reachable Sets with Scenario Optimization. L4DC 2020: 75-84 - Thinh T. Doan, Justin Romberg:
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation. L4DC 2020: 26-36
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