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cs.LG2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Yifei Min, Tianhao Wang, Ruitu Xu +3
We study a Markov matching market involving a planner and a set of strategic agents on the two sides of the market. At each step, the agents are presented with a dynamical context,…
cs.LG2022
Cascaded Gaps: Towards Gap-Dependent Regret for Risk-Sensitive Reinforcement Learning
Yingjie Fei, Ruitu Xu
In this paper, we study gap-dependent regret guarantees for risk-sensitive reinforcement learning based on the entropic risk measure. We propose a novel definition of sub-optimalit…