Deep Reinforcement Learning with State Uncertainty Estimation for Continuous Control of Dynamic Complex Systems
A Deep Reinforcement Learning framework for Continuous Control with State Uncertainty Estimation based on the Multi-Agent Policy Collaborative Optimization (MAPCO) mechanism is proposed, enabling robust state representation and stable policy optimization through distributed information exchange.