John Hopcroft Center for Computer Science, Shanghai Jiao Tong University; School of Data Science, The Chinese University of Hong Kong, Shenzhen
Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li
Reinforcement learning theory;Reinforcement learning with adversarial losses;Reinforcement learning with linear function approximation
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition