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05/22/2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Mirror descent value iteration (MDVI), an abstraction of Kullback-Leible...
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05/27/2022
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
In this work, we consider and analyze the sample complexity of model-fre...
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12/08/2021
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
We present ShinRL, an open-source library specialized for the evaluation...
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07/16/2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning
The recent booming of entropy-regularized literature reveals that Kullba...
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07/13/2021
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning
In this paper, we propose cautious policy programming (CPP), a novel val...
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07/12/2021