most citedHuman-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation

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cs.LG2022★ 2 cited

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation

Xiaoyu Chen, Han Zhong, Zhuoran Yang +2

We study human-in-the-loop reinforcement learning (RL) with trajectory preferences, where instead of receiving a numeric reward at each step, the agent only receives preferences ov…