7 citations · 17 across the 12 of their papers we have counts for
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cs.LG2023
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Yu Chen, Yihan Du, Pihe Hu +3
Risk-sensitive reinforcement learning (RL) aims to optimize policies that balance the expected reward and risk. In this paper, we present a novel risk-sensitive RL framework that e…
cs.LG2023★ 2 cited
Provably Safe Reinforcement Learning with Step-wise Violation Constraints
Nuoya Xiong, Yihan Du, Longbo Huang
In this paper, we investigate a novel safe reinforcement learning problem with step-wise violation constraints. Our problem differs from existing works in that we consider stricter…
cs.LG2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits
Yihan Du, Longbo Huang, Wen Sun
Despite the recent success of representation learning in sequential decision making, the study of the pure exploration scenario (i.e., identify the best option and minimize the sam…