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cs.LG2024
Sample Complexity Characterization for Linear Contextual MDPs
Junze Deng, Yuan Cheng, Shaofeng Zou +1
Contextual Markov decision processes (CMDPs) describe a class of reinforcement learning problems in which the transition kernels and reward functions can change over time with diff…
cs.LG2022★ 1 cited
Provably Efficient Offline Reinforcement Learning with Trajectory-Wise Reward
Tengyu Xu, Yue Wang, Shaofeng Zou +1
The remarkable success of reinforcement learning (RL) heavily relies on observing the reward of every visited state-action pair. In many real world applications, however, an agent…