Publications
2023
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ICML
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ICML
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ICML
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ICRAGuided Incremental Local Densification for Accelerated Sampling-based Motion PlanningIn IEEE International Conference on Robotics and Automation 2023
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ICLRImpossibly Good Experts and How to Follow ThemIn International Conference on Learning Representations 2023
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ICRAGuided Incremental Local Densification for Accelerated Sampling-based Motion PlanningIn IEEE International Conference on Robotics and Automation 2023
2022
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NeurIPSMinimax Optimal Online Imitation Learning via Replay EstimationIn Advances in Neural Information Processing Systems 2022
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NeurIPSMinimax Optimal Online Imitation Learning via Replay EstimationIn Advances in Neural Information Processing Systems 2022
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NeurIPSSequence Model Imitation Learning with Unobserved ContextsIn Advances in Neural Information Processing Systems 2022
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ICMLCausal imitation learning under temporally correlated noiseIn International Conference on Machine Learning 2022
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ICMLTowards Uniformly Superhuman Autonomy via Subdominance MinimizationIn International Conference on Machine Learning 2022
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ICMLCausal Imitation Learning under Temporally Correlated NoiseIn International Conference on Machine Learning 2022
2021
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AuRo
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arXivFeedback in Imitation Learning: The Three Regimes of Covariate ShiftarXiv preprint arXiv:2102.02872 2021
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ICMLOf Moments and Matching: A Game-Theoretic Framework for Closing the Imitation GapIn International Conference on Machine Learning 2021
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ICLR
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IROSBayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts2021
2020
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RSSLearning from Interventions: Human-robot interaction as both explicit and implicit feedbackIn Robotics: Science and Systems 2020
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WAFRImitation Learning as f-Divergence MinimizationIn Workshop on the Algorithmic Foundations of Robotics 2020