George Konidaris

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 70

Top Topics

Impedance Control

Reinforcement Learning

Partial Observability

Top Venues

Publications

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 (2024)
Rafael Rodríguez-Sánchez, George Konidaris
Learning Abstract World Model for Value-preserving Planning with Options. CoRR (2024)
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 (2024)
Renhao Zhang, Haotian Fu, Yilin Miao, George Konidaris
Model-based Reinforcement Learning for Parameterized Action Spaces. CoRR (2024)
Max Merlin, Shane Parr, Neev Parikh, Sergio Orozco, Vedant Gupta, Eric Rosen, George Konidaris
Robot Task Planning Under Local Observability. ICRA (2024)
Benedict Quartey, Eric Rosen, Stefanie Tellex, George Konidaris
Verifiably Following Complex Robot Instructions with Foundation Models. CoRR (2024)
Jason Xinyu Liu, Ankit Shah, Eric Rosen, Mingxi Jia, George Konidaris, Stefanie Tellex
Skill Transfer for Temporal Task Specification. ICRA (2024)
Haotian Fu, Shangqun Yu, Saket Tiwari, Michael L. Littman, George Konidaris
Meta-learning Parameterized Skills. ICML (2023)
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)
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 (2023)
Omer Gottesman, Kavosh Asadi, Cameron S. Allen, Samuel Lobel, George Konidaris, Michael L. Littman
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces. AISTATS (2023)
Haotian Fu, Jiayu Yao, Omer Gottesman, Finale Doshi-Velez, George Konidaris
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs. ICLR (2023)
Sam Lobel, Akhil Bagaria, George Konidaris
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. ICML (2023)
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)
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)
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)
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 L. 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 (2023)
Sam Lobel, Akhil Bagaria, George Konidaris
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. CoRR (2023)
Benedict Quartey, Ankit Shah, George Konidaris
Exploiting Contextual Structure to Generate Useful Auxiliary Tasks. CoRR (2023)
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)
Andrew Levy, Sreehari Rammohan, Alessandro Allievi, Scott Niekum, George Konidaris
Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning. CoRR (2023)
Saket Tiwari, George Konidaris
Effects of Data Geometry in Early Deep Learning. CoRR (2023)
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 (2023)
Samuel Lobel, Sreehari Rammohan, Bowen He, Shangqun Yu, George Konidaris
Q-functionals for Value-Based Continuous Control. AAAI (2023)
Seiji Shaw, Ben Abbatematteo, George Konidaris
RMPs for Safe Impedance Control in Contact-Rich Manipulation. ICRA (2022)
Eric Hsiung, Hiloni Mehta, Junchi Chu, Jason Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris
Generalizing to New Domains by Mapping Natural Language to Lifted LTL. ICRA (2022)
Matthew Berg, George Konidaris, Stefanie Tellex
Using Language to Generate State Abstractions for Long-Range Planning in Outdoor Environments. ICRA (2022)
Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie
Learning to Infer Kinematic Hierarchies for Novel Object Instances. ICRA (2022)
Haotian Fu, Shangqun Yu, Michael L. Littman, George Konidaris
Model-based Lifelong Reinforcement Learning with Bayesian Exploration. NeurIPS (2022)
Zhiyuan Zhou, Cameron Allen, Kavosh Asadi, George Konidaris
Characterizing the Action-Generalization Gap in Deep Q-Learning. CoRR (2022)
Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris
Optimistic Initialization for Exploration in Continuous Control. AAAI (2022)
Michael Beukman, Michael Mitchley, Dean S. Wookey, Steven James, George Konidaris
Adaptive Online Value Function Approximation with Wavelets. CoRR (2022)
Jason Xinyu Liu, Ankit Shah, Eric Rosen, George Konidaris, Stefanie Tellex
Skill Transfer for Temporally-Extended Task Specifications. CoRR (2022)
Charles Lovering, Jessica Zosa Forde, George Konidaris, Ellie Pavlick, Michael L. Littman
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. CoRR (2022)
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 (2022)
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 (2022)
Saket Tiwari, George Konidaris
Effects of Data Geometry in Early Deep Learning. NeurIPS (2022)
Kaiyu Zheng, Rohan Chitnis, Yoonchang Sung, George Konidaris, Stefanie Tellex
Towards Optimal Correlational Object Search. ICRA (2022)
Adam Pacheck, Steven James, George Konidaris, Hadas Kress-Gazit
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. CoRR (2022)
Steven James, Benjamin Rosman, George Konidaris
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR (2022)
Charles Lovering, Jessica Forde, George Konidaris, Ellie Pavlick, Michael L. Littman
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex. NeurIPS (2022)
Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris
Learning Markov State Abstractions for Deep Reinforcement Learning. CoRR (2021)
Cameron Allen, Michael Katz, Tim Klinger, George Konidaris, Matthew Riemer, Gerald Tesauro
Efficient Black-Box Planning Using Macro-Actions with Focused Effects. IJCAI (2021)
Matt Corsaro, Stefanie Tellex, George Konidaris
Learning to Detect Multi-Modal Grasps for Dexterous Grasping in Dense Clutter. CoRR (2021)
Benjamin A. Spiegel, George Konidaris
Guided Policy Search for Parameterized Skills using Adverbs. CoRR (2021)
Bingjie Tang, Matthew Corsaro, George Konidaris, Stefanos Nikolaidis, Stefanie Tellex
Learning Collaborative Pushing and Grasping Policies in Dense Clutter. ICRA (2021)
Cameron Allen, Neev Parikh, Omer Gottesman, George Konidaris
Learning Markov State Abstractions for Deep Reinforcement Learning. NeurIPS (2021)
Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex
Multi-Resolution POMDP Planning for Multi-Object Search in 3D. IROS (2021)
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 (2021)
Oliver Kroemer, Scott Niekum, George Konidaris
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms. J. Mach. Learn. Res. 22 (2021)
Akhil Bagaria, Jason K. Senthil, George Konidaris
Skill Discovery for Exploration and Planning using Deep Skill Graphs. ICML (2021)
Omer Gottesman, Kavosh Asadi, Cameron Allen, Sam Lobel, George Konidaris, Michael L. Littman
Coarse-Grained Smoothness for RL in Metric Spaces. CoRR (2021)
Willie McClinton, Andrew Levy, George Konidaris
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning. CoRR (2021)
Barrett Ames, Jeremy Morgan, George Konidaris
IKFlow: Generating Diverse Inverse Kinematics Solutions. CoRR (2021)
Akhil Bagaria, Jason K. Senthil, Matthew Slivinski, George Konidaris
Robustly Learning Composable Options in Deep Reinforcement Learning. IJCAI (2021)
Seiji Shaw, Ben Abbatematteo, George Konidaris
RMPs for Safe Impedance Control in Contact-Rich Manipulation. CoRR (2021)
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 (2021)
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) (2020)
Josh Roy, George Konidaris
Visual Transfer for Reinforcement Learning via Wasserstein Domain Confusion. CoRR (2020)
Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex
Building Plannable Representations with Mixed Reality. IROS (2020)
Steven D. James, Benjamin Rosman, George Konidaris
Learning Portable Representations for High-Level Planning. ICML (2020)
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)
Eric Rosen, Stefanie Tellex, George Konidaris
Steps Towards Best Practices For Robot Videos. CoRR (2020)
Akhil Bagaria, George Konidaris
Option Discovery using Deep Skill Chaining. ICLR (2020)
Nishanth Kumar, Michael Fishman, Natasha Danas, Michael L. Littman, Stefanie Tellex, George Konidaris
Task Scoping: Building Goal-Specific Abstractions for Planning in Complex Domains. CoRR (2020)
Nishanth Kumar, Michael Fishman, Natasha Danas, Stefanie Tellex, Michael L. Littman, George Konidaris
Task Scoping for Efficient Planning in Open Worlds (Student Abstract). AAAI (2020)
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 (2020)
Kaiyu Zheng, Yoonchang Sung, George Konidaris, Stefanie Tellex
Multi-Resolution POMDP Planning for Multi-Object Search in 3D. CoRR (2020)
Adam Pacheck, George Konidaris, Hadas Kress-Gazit
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations. ISRR (2019)
Ben Abbatematteo, Stefanie Tellex, George Konidaris
Learning to Generalize Kinematic Models to Novel Objects. CoRL (2019)