Publications
2024
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UNcommonsense Reasoning: Abductive Reasoning about Uncommon SituationsIn North American Chapter of the Association for Computational Linguistics 2024
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InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot ActionsIn IEEE International Conference on Robotics and Automation 2024
2023
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Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-ThoughtIn Advances in Neural Information Processing Systems 2023
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ManiCast: Collaborative Manipulation with Cost-Aware Human ForecastingIn Conference on Robot Learning 2023
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Learning Shared Safety Constraints from Multi-task DemonstrationsIn Advances in Neural Information Processing Systems 2023
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The Virtues of Laziness in Model-based RL: A Unified Objective and AlgorithmsIn International Conference on Machine Learning 2023
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Inverse Reinforcement Learning without Reinforcement LearningIn International Conference on Machine Learning 2023
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A Game-Theoretic Framework for Joint Forecasting and PlanningIn IEEE/RSJ International Conference on Intelligent Robots and Systems 2023
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Impossibly Good Experts and How to Follow ThemIn International Conference on Learning Representations 2023
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Guided Incremental Local Densification for Accelerated Sampling-based Motion PlanningIn IEEE International Conference on Robotics and Automation 2023
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2022
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The Blindfolded Traveler’s Problem: A Search Framework for Motion Planning with Contact EstimatesIn The International Journal of Robotics Research 2022
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Minimax Optimal Online Imitation Learning via Replay EstimationIn Advances in Neural Information Processing Systems 2022
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Sequence Model Imitation Learning with Unobserved ContextsIn Advances in Neural Information Processing Systems 2022
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Causal imitation learning under temporally correlated noiseIn International Conference on Machine Learning 2022
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Towards Uniformly Superhuman Autonomy via Subdominance MinimizationIn International Conference on Machine Learning 2022
2021
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Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation GapIn International Conference on Machine Learning 2021
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Learning Online from Corrective Feedback: A Meta-Algorithm for RoboticsarXiv preprint arXiv:2104.01021 2021
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Feedback in Imitation Learning: The Three Regimes of Covariate ShiftarXiv preprint arXiv:2102.02872 2021
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Blending mpc & value function approximation for efficient reinforcement learningIn International Conference on Learning Representations 2021
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Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant ExpertsIn IEEE/RSJ International Conference on Intelligent Robots and Systems 2021
2020
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Toward fieldable human-scale mobile manipulation using RoManIn Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II 2020
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Learning from Interventions: Human-robot interaction as both explicit and implicit feedbackIn Robotics: Science and Systems 2020
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Imitation Learning as f-Divergence MinimizationIn Workshop on the Algorithmic Foundations of Robotics 2020
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ICS: Incremental Constrained Smoothing for State EstimationIn IEEE International Conference on Robotics and Automation 2020
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Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate EdgesIn IEEE International Conference on Robotics and Automation 2020