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12/23/2022
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information
Motivated by the human-machine interaction such as training chatbots for...
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09/18/2022
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes
We study the offline reinforcement learning (RL) in the face of unmeasur...
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10/24/2021
SCORE: Spurious COrrelation REduction for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims to learn the optimal policy fro...
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08/19/2021
Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation
In generative adversarial imitation learning (GAIL), the agent aims to l...
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02/19/2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
In offline reinforcement learning (RL) an optimal policy is learnt solel...
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08/02/2020
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
We study the global convergence and global optimality of actor-critic, o...
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10/16/2019
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games
We study discrete-time mean-field Markov games with infinite numbers of ...
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10/08/2019