Policy Consensus-Based Distributed Deterministic Multi-Agent Reinforcement Learning

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
policy consensus   distributed algorithms   multi-agent reinforcement learning   deterministic policy gradient   directed graphs   continuous control   deep reinforcement learning  

Policy Consensus-Based Distributed Deterministic Multi-Agent Reinforcement Learning Research Report Reinforcement Learning (RL) has made significant breakthroughs in recent years in various fields such as robotics, smart grids, and autonomous driving. However, in real-world scenarios, multi-agent collaboration problems, also known as Multi-Agent Re...

Cooperative Output Regulation of Heterogeneous Directed Multi-Agent Systems: A Fully Distributed Model-Free Reinforcement Learning Framework

Engineering, Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence,
heterogeneous systems   multi-agent systems   model-free reinforcement learning   event-triggered control   directed graphs   distributed control   cooperative output regulation  

Research on Cooperative Output Regulation of Heterogeneous Directed Multi-Agent Systems: A Fully Distributed Model-Free Reinforcement Learning Framework Background In recent years, the study of distributed control and optimization has demonstrated broad application prospects in smart transportation, smart grids, distributed energy systems, and othe...