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20232025
most citedREBEL: Reinforcement Learning via Regressing Relative Rewards

2 citations · 4 across the 7 of their papers we have counts for

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cs.LG2023★ 1 cited

Optimal Multi-Distribution Learning

Zihan Zhang, Wenhao Zhan, Yuxin Chen +2

Multi-distribution learning (MDL), which seeks to learn a shared model that minimizes the worst-case risk across distinct data distributions, has emerged as a unified framework…

cs.LG2023

Provably Efficient CVaR RL in Low-rank MDPs

Yulai Zhao, Wenhao Zhan, Xiaoyan Hu +4

We study risk-sensitive Reinforcement Learning (RL), where we aim to maximize the Conditional Value at Risk (CVaR) with a fixed risk tolerance . Prior theoretical work studying…