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03/26/2023
Inverse Reinforcement Learning without Reinforcement Learning
Inverse Reinforcement Learning (IRL) is a powerful set of techniques for...
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08/19/2022
Game-Theoretic Algorithms for Conditional Moment Matching
A variety of problems in econometrics and machine learning, including in...
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08/03/2022
Sequence Model Imitation Learning with Unobserved Contexts
We consider imitation learning problems where the expert has access to a...
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05/30/2022
Minimax Optimal Online Imitation Learning via Replay Estimation
Online imitation learning is the problem of how best to mimic expert dem...
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02/02/2022
Causal Imitation Learning under Temporally Correlated Noise
We develop algorithms for imitation learning from policy data that was c...
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10/05/2021
A Critique of Strictly Batch Imitation Learning
Recent work by Jarrett et al. attempts to frame the problem of offline i...
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03/04/2021
Of Moments and Matching: Trade-offs and Treatments in Imitation Learning
We provide a unifying view of a large family of previous imitation learn...
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09/22/2019
Scaled Autonomy: Enabling Human Operators to Control Robot Fleets
Autonomous robots often encounter challenging situations where their con...
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01/04/2019
On the Utility of Model Learning in HRI
Fundamental to robotics is the debate between model-based and model-free...
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06/24/2018
