Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization

20 December 2021

Papers citing "Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization"

5 / 5 papers shown

Title
Generalization in Monitored Markov Decision Processes (Mon-MDPs) Montaser Mohammedalamen Michael Bowling 19 0 0 13 May 2025
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation Xulin Chen Ruipeng Liu Garret E. Katz 42 0 0 22 Apr 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 76 4 0 04 Apr 2024
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 45 29 0 16 May 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 31 5 0 31 Jan 2023