ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space.
Huaze TangYuanquan HuFanfan ZhaoJunji YanTing DongWenbo DingPublished in: ICASSP (2024)
Keyphrases
- action space
- multi agent reinforcement learning
- reinforcement learning
- state space
- markov decision processes
- stochastic games
- real valued
- single agent
- learning agents
- continuous state spaces
- multi agent
- action selection
- learning agent
- multi agent learning
- function approximation
- stochastic processes
- multi agent systems
- reinforcement learning algorithms
- markov random field
- model free
- heuristic search
- markov decision process
- em algorithm
- dynamic programming
- learning algorithm
- machine learning
- markov chain
- belief networks
- average reward
- supervised learning
- distributed control