Microsoft Research Asia; IIIS, Tsinghua University; SEM, University of Chinese Academy of Sciences; ECE, University of Illinois at Urbana-Champaign
Yu Chen, Yihan Du, Pihe Hu, Siwei Wang, Desheng Wu, Longbo Huang
Reinforcement Learning;Iterated CVaR;Learning Theory;Function Approximation;Human Feedback
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback