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cs.LG2024
Policy Gradient for Robust Markov Decision Processes
Qiuhao Wang, Shaohang Xu, Chin Pang Ho +1
We develop a generic policy gradient method with the global optimality guarantee for robust Markov Decision Processes (MDPs). While policy gradient methods are widely used for solv…
cs.LG2020★ 8 cited
Partial Policy Iteration for L1-Robust Markov Decision Processes
Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
Robust Markov decision processes (MDPs) allow to compute reliable solutions for dynamic decision problems whose evolution is modeled by rewards and partially-known transition proba…