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ORCIDGeorge Dimitri Konidaris
George Konidaris 0001
Person information
- affiliation: Brown University, Providence, RI, USA
Other persons with the same name
- George Konidaris 0002 — Athens University of Economics and Business, Greece
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2020 – today
- 2024
[j21]Rafael Rodríguez-Sánchez, George Konidaris:
Learning Abstract World Models for Value-preserving Planning with Options. RLJ 4: 1733-1758 (2024)- [c104]Qi Zhao, Haotian Fu, Chen Sun, George Konidaris:
EPO: Hierarchical LLM Agents with Environment Preference Optimization. EMNLP 2024: 6401-6415 - [c103]Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan:
Language-guided Skill Learning with Temporal Variational Inference. ICML 2024 - [c102]Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris:
Model-based Reinforcement Learning for Parameterized Action Spaces. ICML 2024 - [c101]Max Merlin, Shane Parr, Neev Parikh, Sergio Orozco, Vedant Gupta, Eric Rosen, George Konidaris:
Robot Task Planning Under Local Observability. ICRA 2024: 1362-1368 - [c100]Jason Xinyu Liu, Ankit Shah, Eric Rosen, Mingxi Jia, George Konidaris, Stefanie Tellex:
Skill Transfer for Temporal Task Specification. ICRA 2024: 2535-2541 - [c99]Ben Abbatematteo, Eric Rosen, Skye Thompson, Tuluhan Akbulut, Sreehari Rammohan, George Dimitri Konidaris:
Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills. ICRA 2024: 7522-7529 - [i65]Benedict Quartey, Eric Rosen, Stefanie Tellex, George Konidaris:
Verifiably Following Complex Robot Instructions with Foundation Models. CoRR abs/2402.11498 (2024) - [i64]Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan:
Language-guided Skill Learning with Temporal Variational Inference. CoRR abs/2402.16354 (2024) - [i63]Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris:
Model-based Reinforcement Learning for Parameterized Action Spaces. CoRR abs/2404.03037 (2024) - [i62]Rafael Rodríguez-Sánchez, George Konidaris:
Learning Abstract World Model for Value-preserving Planning with Options. CoRR abs/2406.15850 (2024) - [i61]Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris:
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. CoRR abs/2407.07333 (2024) - [i60]Qi Zhao, Haotian Fu, Chen Sun, George Konidaris:
EPO: Hierarchical LLM Agents with Environment Preference Optimization. CoRR abs/2408.16090 (2024) - [i59]David Paulius, Alejandro Agostini, Benedict Quartey, George Konidaris:
Bootstrapping Object-level Planning with Large Language Models. CoRR abs/2409.12262 (2024) - [i58]Andrew Levy, Alessandro Allievi, George Konidaris:
Latent-Predictive Empowerment: Measuring Empowerment without a Simulator. CoRR abs/2410.11155 (2024) - [i57]Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris:
Skill Generalization with Verbs. CoRR abs/2410.14118 (2024) - 2023
- [j20]Adam Pacheck
, Steven James, George Dimitri Konidaris, Hadas Kress-Gazit:
Automatic encoding and repair of reactive high-level tasks with learned abstract representations. Int. J. Robotics Res. 42(4-5): 263-288 (2023) - [j19]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A domain-agnostic approach for characterization of lifelong learning systems. Neural Networks 160: 274-296 (2023) - [c98]Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris:
Q-functionals for Value-Based Continuous Control. AAAI 2023: 8932-8939 - [c97]Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael Littman:
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. AISTATS 2023: 1390-1410 - [c96]Eric Rosen, Steven James, Sergio Orozco, Vedant Gupta, Max Merlin, Stefanie Tellex, George Konidaris:
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills. CoRL 2023: 2278-2287 - [c95]Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris:
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. ICLR 2023 - [c94]Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris:
Meta-learning Parameterized Skills. ICML 2023: 10461-10481 - [c93]Sam Lobel, Akhil Bagaria, George Konidaris:
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. ICML 2023: 22594-22613 - [c92]Rafael Rodríguez-Sánchez, Benjamin Adin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris:
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents. ICML 2023: 29161-29178 - [c91]Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski:
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS 2023: 3672-3679 - [c90]Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris:
Skill Generalization with Verbs. IROS 2023: 5844-5851 - [c89]Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex:
Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. IROS 2023: 7976-7983 - [c88]Akhil Bagaria, Ben Abbatematteo, Omer Gottesman, Matt Corsaro, Sreehari Rammohan, George Dimitri Konidaris:
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. NeurIPS 2023 - [i56]Saket Tiwari, George Konidaris:
Effects of Data Geometry in Early Deep Learning. CoRR abs/2301.00008 (2023) - [i55]Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Dimitri Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha:
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems. CoRR abs/2301.07799 (2023) - [i54]Benedict Quartey, Ankit Shah, George Konidaris:
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks. CoRR abs/2303.05038 (2023) - [i53]Sam Lobel, Akhil Bagaria, George Konidaris:
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. CoRR abs/2306.03186 (2023) - [i52]Andrew Levy, Sreehari Rammohan, Alessandro Allievi, Scott Niekum, George Konidaris:
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning. CoRR abs/2307.02728 (2023) - [i51]Ifrah Idrees, Tian Yun, Naveen Sharma, Yunxin Deng, Nakul Gopalan, George Konidaris, Stefanie Tellex:
Improved Inference of Human Intent by Combining Plan Recognition and Language Feedback. CoRR abs/2310.02462 (2023) - [i50]William Hill, Ireton Liu, Anita de Mello Koch, Damion Harvey, George Konidaris, Steven James:
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds. CoRR abs/2312.12891 (2023) - 2022
- [j18]Barrett Ames, Jeremy Morgan, George Dimitri Konidaris:
IKFlow: Generating Diverse Inverse Kinematics Solutions. IEEE Robotics Autom. Lett. 7(3): 7177-7184 (2022) - [c87]Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris:
Optimistic Initialization for Exploration in Continuous Control. AAAI 2022: 7612-7619 - [c86]Steven James, Benjamin Rosman, George Konidaris:
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR 2022 - [c85]Matthew Berg, George Konidaris, Stefanie Tellex:
Using Language to Generate State Abstractions for Long-Range Planning in Outdoor Environments. ICRA 2022: 1888-1895 - [c84]Seiji Shaw, Ben Abbatematteo, George Konidaris:
RMPs for Safe Impedance Control in Contact-Rich Manipulation. ICRA 2022: 2707-2713 - [c83]Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris:
Generalizing to New Domains by Mapping Natural Language to Lifted LTL. ICRA 2022: 3624-3630 - [c82]Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex:
Towards Optimal Correlational Object Search. ICRA 2022: 7313-7319 - [c81]Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie:
Learning to Infer Kinematic Hierarchies for Novel Object Instances. ICRA 2022: 8461-8467 - [c80]Haotian Fu, Shangqun Yu, Michael Littman, George Konidaris:
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. NeurIPS 2022 - [c79]Charles Lovering, Jessica Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. NeurIPS 2022 - [c78]Saket Tiwari, George Konidaris:
Effects of Data Geometry in Early Deep Learning. NeurIPS 2022 - [i49]Shangqun Yu, Sreehari Rammohan, Kaiyu Zheng, George Dimitri Konidaris:
Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study. CoRR abs/2203.10616 (2022) - [i48]Adam Pacheck, Steven James, George Konidaris, Hadas Kress-Gazit:
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. CoRR abs/2204.08327 (2022) - [i47]Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris:
Adaptive Online Value Function Approximation with Wavelets. CoRR abs/2204.11842 (2022) - [i46]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Abstract and Transferable Representations for Planning. CoRR abs/2205.02092 (2022) - [i45]Zhiyuan Zhou, Cameron Allen, Kavosh Asadi, George Konidaris:
Characterizing the Action-Generalization Gap in Deep Q-Learning. CoRR abs/2205.05588 (2022) - [i44]Haotian Fu, Shangqun Yu, Saket Tiwari, George Dimitri Konidaris, Michael Littman:
Meta-Learning Transferable Parameterized Skills. CoRR abs/2206.03597 (2022) - [i43]Jason Xinyu Liu, Ankit Shah, Eric Rosen, George Konidaris, Stefanie Tellex:
Skill Transfer for Temporally-Extended Task Specifications. CoRR abs/2206.05096 (2022) - [i42]Rafael Rodríguez-Sánchez, Benjamin A. Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris:
RLang: A Declarative Language for Expression Prior Knowledge for Reinforcement Learning. CoRR abs/2208.06448 (2022) - [i41]Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski:
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR abs/2209.14461 (2022) - [i40]Haotian Fu, Shangqun Yu, Michael Littman, George Dimitri Konidaris:
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. CoRR abs/2210.11579 (2022) - [i39]Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman:
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. CoRR abs/2211.14673 (2022) - 2021
- [j17]Oliver Kroemer, Scott Niekum, George Konidaris:
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. J. Mach. Learn. Res. 22: 30:1-30:82 (2021) - [c77]Kavosh Asadi, Neev Parikh, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman:
Deep Radial-Basis Value Functions for Continuous Control. AAAI 2021: 6696-6704 - [c76]Josh Roy, George Dimitri Konidaris:
Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion. AAAI 2021: 9454-9462 - [c75]Akhil Bagaria, Jason K. Senthil, George Konidaris:
Skill Discovery for Exploration and Planning using Deep Skill Graphs. ICML 2021: 521-531 - [c74]Bingjie Tang, Matthew Corsaro, George Konidaris, Stefanos Nikolaidis, Stefanie Tellex:
Learning Collaborative Pushing and Grasping Policies in Dense Clutter. ICRA 2021: 6177-6184 - [c73]Akhil Bagaria, Jason K. Senthil, Matthew Slivinski, George Konidaris:
Robustly Learning Composable Options in Deep Reinforcement Learning. IJCAI 2021: 2161-2169 - [c72]Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro:
Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI 2021: 4024-4031 - [c71]Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex:
Multi-Resolution POMDP Planning for Multi-Object Search in 3D. IROS 2021: 2022-2029 - [c70]Matt Corsaro, Stefanie Tellex, George Dimitri Konidaris:
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. IROS 2021: 4647-4653 - [c69]Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris:
Bootstrapping Motor Skill Learning with Motion Planning. IROS 2021: 4926-4933 - [c68]Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris:
Learning Markov State Abstractions for Deep Reinforcement Learning. NeurIPS 2021: 8229-8241 - [i38]Ben Abbatematteo, Eric Rosen, Stefanie Tellex, George Dimitri Konidaris:
Bootstrapping Motor Skill Learning with Motion Planning. CoRR abs/2101.04736 (2021) - [i37]Matt Corsaro, Stefanie Tellex, George Konidaris:
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. CoRR abs/2106.03919 (2021) - [i36]Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris:
Learning Markov State Abstractions for Deep Reinforcement Learning. CoRR abs/2106.04379 (2021) - [i35]Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris:
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. CoRR abs/2107.13356 (2021) - [i34]Willie McClinton, Andrew Levy, George Konidaris:
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning. CoRR abs/2108.05872 (2021) - [i33]Seiji Shaw, Ben Abbatematteo, George Konidaris:
RMPs for Safe Impedance Control in Contact-Rich Manipulation. CoRR abs/2109.12103 (2021) - [i32]Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris:
Generalizing to New Domains by Mapping Natural Language to Lifted LTL. CoRR abs/2110.05603 (2021) - [i31]Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Dimitri Konidaris, Daniel Ritchie:
Learning to Infer Kinematic Hierarchies for Novel Object Instances. CoRR abs/2110.07911 (2021) - [i30]Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Dimitri Konidaris, Stefanie Tellex:
Towards Optimal Correlational Object Search. CoRR abs/2110.09991 (2021) - [i29]Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael Littman:
Coarse-Grained Smoothness for RL in Metric Spaces. CoRR abs/2110.12276 (2021) - [i28]Benjamin A. Spiegel, George Konidaris:
Guided Policy Search for Parameterized Skills using Adverbs. CoRR abs/2110.15799 (2021) - [i27]Barrett Ames, Jeremy Morgan, George Konidaris:
IKFlow: Generating Diverse Inverse Kinematics Solutions. CoRR abs/2111.08933 (2021) - 2020
- [j16]Brenton Keller, Mark Draelos, Kevin Zhou, Ruobing Qian, Anthony N. Kuo, George Konidaris, Kris Hauser, Joseph A. Izatt:
Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration. IEEE Trans. Robotics 36(4): 1207-1218 (2020) - [c67]Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael Littman, George Konidaris:
Task Scoping for Efficient Planning in Open Worlds (Student Abstract). AAAI 2020: 13845-13846 - [c66]Akhil Bagaria, George Konidaris:
Option Discovery using Deep Skill Chaining. ICLR 2020 - [c65]Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris:
Exploration in Reinforcement Learning with Deep Covering Options. ICLR 2020 - [c64]Steven James, Benjamin Rosman, George Konidaris:
Learning Portable Representations for High-Level Planning. ICML 2020: 4682-4691 - [c63]Sean Murray, George Dimitri Konidaris, Daniel J. Sorin:
Roadmap Subsampling for Changing Environments. IROS 2020: 5664-5670 - [c62]Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex:
Building Plannable Representations with Mixed Reality. IROS 2020: 11146-11153 - [c61]Nakul Gopalan, Eric Rosen, George Konidaris, Stefanie Tellex:
Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following. Robotics: Science and Systems 2020 - [i26]Kavosh Asadi, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman:
Deep RBF Value Functions for Continuous Control. CoRR abs/2002.01883 (2020) - [i25]Cameron Allen, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro:
Finding Macro-Actions with Disentangled Effects for Efficient Planning with the Goal-Count Heuristic. CoRR abs/2004.13242 (2020) - [i24]Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex:
Multi-Resolution POMDP Planning for Multi-Object Search in 3D. CoRR abs/2005.02878 (2020) - [i23]Josh Roy, George Konidaris:
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion. CoRR abs/2006.03465 (2020) - [i22]Eric Rosen, Stefanie Tellex, George Konidaris:
Steps Towards Best Practices For Robot Videos. CoRR abs/2007.06218 (2020) - [i21]Nishanth Kumar, Michael Fishman, Natasha Danas, Michael Littman, Stefanie Tellex, George Konidaris:
Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains. CoRR abs/2010.08869 (2020)
2010 – 2019
- 2019
- [j15]Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Dimitri Konidaris, Stefanie Tellex:
Communicating and controlling robot arm motion intent through mixed-reality head-mounted displays. Int. J. Robotics Res. 38(12-13) (2019) - [j14]Christopher Amato, George Dimitri Konidaris, Leslie Pack Kaelbling, Jonathan P. How:
Modeling and Planning with Macro-Actions in Decentralized POMDPs. J. Artif. Intell. Res. 64: 817-859 (2019) - [c60]Sean Murray, Will Floyd-Jones, George Dimitri Konidaris, Daniel J. Sorin:
A Programmable Architecture for Robot Motion Planning Acceleration. ASAP 2019: 185-188 - [c59]Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. AAMAS 2019: 2060-2062 - [c58]Ben Abbatematteo, Stefanie Tellex, George Konidaris:
Learning to Generalize Kinematic Models to Novel Objects. CoRL 2019: 1289-1299 - [c57]Andrew Levy, George Dimitri Konidaris, Robert Platt Jr., Kate Saenko:
Learning Multi-Level Hierarchies with Hindsight. ICLR (Poster) 2019 - [c56]Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris:
Finding Options that Minimize Planning Time. ICML 2019: 3120-3129 - [c55]Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris:
Discovering Options for Exploration by Minimizing Cover Time. ICML 2019: 3130-3139 - [c54]Samir Yitzhak Gadre, Eric Rosen, Gary Chien, Elizabeth Phillips, Stefanie Tellex, George Dimitri Konidaris:
End-User Robot Programming Using Mixed Reality. ICRA 2019: 2707-2713 - [c53]Nicholas DeMarinis, Stefanie Tellex, Vasileios P. Kemerlis, George Dimitri Konidaris, Rodrigo Fonseca:
Scanning the Internet for ROS: A View of Security in Robotics Research. ICRA 2019: 8514-8521 - [c52]Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
DeepMellow: Removing the Need for a Target Network in Deep Q-Learning. IJCAI 2019: 2733-2739 - [c51]Barrett Ames, George Dimitri Konidaris:
Bounded-Error LQR-Trees. IROS 2019: 144-150 - [c50]Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. IROS 2019: 1187-1194 - [c49]Adam Pacheck, George Konidaris, Hadas Kress-Gazit:
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. ISRR 2019: 509-525 - [i20]Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris:
Discovering Options for Exploration by Minimizing Cover Time. CoRR abs/1903.00606 (2019) - [i19]Craig J. Bester, Steven D. James, George Dimitri Konidaris:
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces. CoRR abs/1905.04388 (2019) - [i18]Steven James, Benjamin Rosman, George Dimitri Konidaris:
Learning Portable Representations for High-Level Planning. CoRR abs/1905.12006 (2019) - [i17]Benjamin Burchfiel, George Dimitri Konidaris:
Probabilistic Category-Level Pose Estimation via Segmentation and Predicted-Shape Priors. CoRR abs/1905.12079 (2019) - [i16]Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Dimitri Konidaris:
Grounding Language Attributes to Objects using Bayesian Eigenobjects. CoRR abs/1905.13153 (2019) - [i15]Oliver Kroemer, Scott Niekum, George Dimitri Konidaris:
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. CoRR abs/1907.03146 (2019) - [i14]