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06/11/2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions
Imitation learning (IL) has proven to be an effective method for learnin...
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03/13/2023
Deploying Offline Reinforcement Learning with Human Feedback
Reinforcement learning (RL) has shown promise for decision-making tasks ...
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01/27/2023
Theoretical Analysis of Offline Imitation With Supplementary Dataset
Behavioral cloning (BC) can recover a good policy from abundant expert d...
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08/03/2022
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis
Imitation learning learns a policy from expert trajectories. While the e...
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03/22/2022
A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle
Q-learning with function approximation could diverge in the off-policy s...
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02/05/2022
Rethinking ValueDice: Does It Really Improve Performance?
Since the introduction of GAIL, adversarial imitation learning (AIL) met...
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06/19/2021
Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions
This paper is dedicated to designing provably efficient adversarial imit...
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10/22/2020
Error Bounds of Imitating Policies and Environments
Imitation learning trains a policy by mimicking expert demonstrations. V...
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11/16/2019
