203 citations · 262 across the 22 of their papers we have counts for
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cs.LG2023
Rating-based Reinforcement Learning
Devin White, Mingkang Wu, Ellen Novoseller +3
This paper develops a novel rating-based reinforcement learning approach that uses human ratings to obtain human guidance in reinforcement learning. Different from the existing pre…
cs.LG2023
Fairness in Preference-based Reinforcement Learning
Umer Siddique, Abhinav Sinha, Yongcan Cao
In this paper, we address the issue of fairness in preference-based reinforcement learning (PbRL) in the presence of multiple objectives. The main objective is to design control po…