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09/18/2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Safe Reinforcement Learning (RL) aims to find a policy that achieves hig...
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01/26/2023
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons
We provide a theoretical framework for Reinforcement Learning with Human...
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06/18/2021
MADE: Exploration via Maximizing Deviation from Explored Regions
In online reinforcement learning (RL), efficient exploration remains par...
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01/24/2019
Theoretically Principled Trade-off between Robustness and Accuracy
We identify a trade-off between robustness and accuracy that serves as a...
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05/02/2018
