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Control Algorithms for Imitation Learning from Observation
Peter Stone
Author Information
Peter Stone (The University of Texas at Austin)
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2020 : Paper 19: Multiagent Driving Policy for Congestion Reduction in a Large Scale Scenario »
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2021 : Safe Evaluation For Offline Learning: \\Are We Ready To Deploy? »
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2022 : ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning »
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2022 : ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning »
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2023 Poster: FAMO: Fast Adaptive Multitask Optimization »
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2023 Poster: ELDEN: Exploration via Local Dependencies »
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2023 Poster: f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences »
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2023 Poster: LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning »
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2022 : Panel RL Theory-Practice Gap »
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2022 : Panel RL Benchmarks »
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2022 : Invited talk: Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning »
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2022 : Human in the Loop Learning for Robot Navigation and Task Learning from Implicit Human Feedback »
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2022 Poster: Value Function Decomposition for Iterative Design of Reinforcement Learning Agents »
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2021 Poster: Adversarial Intrinsic Motivation for Reinforcement Learning »
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2021 Poster: Conflict-Averse Gradient Descent for Multi-task learning »
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2021 Poster: Machine versus Human Attention in Deep Reinforcement Learning Tasks »
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2020 : Q&A: Peter Stone (The University of Texas at Austin): Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination, with Natasha Jaques (Google) [moderator] »
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2020 : Invited Speaker: Peter Stone (The University of Texas at Austin) on Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination »
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2020 : Panel discussion »
Pierre-Yves Oudeyer · Marc Bellemare · Peter Stone · Matt Botvinick · Susan Murphy · Anusha Nagabandi · Ashley Edwards · Karen Liu · Pieter Abbeel -
2020 : Discussion Panel »
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2020 : Invited talk: Peter Stone "Grounded Simulation Learning for Sim2Real with Connections to Off-Policy Reinforcement Learning" »
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2020 Poster: Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks »
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2020 Poster: An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch »
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2018 : Peter Stone »
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2016 : Peter Stone (University of Texas at Austin) »
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2015 Workshop: Learning, Inference and Control of Multi-Agent Systems »
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