Junji Yan

M3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space

Mean-field theory offers a promising solution to the scalability issues encountered in multi-agent reinforcement learning (MARL) within large-scale systems. However, most existing MARL algorithms based on mean-field theory are typically constrained to discrete action space. In continuous action spac…