Yongshuai Liu

Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey

Reinforcement Learning (RL) algorithms have had tremendous success in simulated domains. These algorithms, however, often cannot be directly applied to physical systems, especially in cases where there are constraints to satisfy (e.g. to ensure safety or limit resource consumption). In standard RL,…