most citedPolicy Gradient Method For Robust Reinforcement Learning

11 citations · 12 across the 2 of their papers we have counts for

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2 papers

cs.LG2022★ 1 cited

Robust Constrained Reinforcement Learning

Yue Wang, Fei Miao, Shaofeng Zou

Constrained reinforcement learning is to maximize the expected reward subject to constraints on utilities/costs. However, the training environment may not be the same as the test o…

cs.LG2022★ 11 cited

Policy Gradient Method For Robust Reinforcement Learning

Yue Wang, Shaofeng Zou

This paper develops the first policy gradient method with global optimality guarantee and complexity analysis for robust reinforcement learning under model mismatch. Robust reinfor…