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cs.LG2025
Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
Yiting He, Zhishuai Liu, Weixin Wang +1
Off-dynamics reinforcement learning (RL), where training and deployment transition dynamics are different, can be formulated as learning in a robust Markov decision process (RMDP)…
cs.LG2025
Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation
Jingwen Gu, Yiting He, Zhishuai Liu +1
Decision-making under distribution shift is a central challenge in reinforcement learning (RL), where training and deployment environments differ. We study this problem through the…
cs.LG2025
Linear Mixture Distributionally Robust Markov Decision Processes
Zhishuai Liu, Pan Xu
Many real-world decision-making problems face the off-dynamics challenge: the agent learns a policy in a source domain and deploys it in a target domain with different state transi…