Peer Incentive Reinforcement Learning for Cooperative Multiagent Games.
Tianle ZhangZhen LiuZhiqiang PuJianqiang YiPublished in: IEEE Trans. Games (2023)
Keyphrases
- cooperative
- multi agent
- reinforcement learning
- game theory
- learning agents
- multiagent learning
- multi agent systems
- profit sharing
- game theoretic
- action sets
- multi agent reinforcement learning
- stochastic games
- multiagent reinforcement learning
- nash equilibrium
- nash equilibria
- single agent
- multiagent systems
- reinforcement learning agents
- reinforcement learning algorithms
- function approximation
- free riding
- intelligent agents
- state space
- multi agent learning
- autonomous agents
- markov decision processes
- game design
- optimal policy
- imperfect information
- multi agent environments
- machine learning
- robocup soccer
- game playing
- learning algorithm
- dynamic programming
- resource allocation
- computer games
- video games
- mechanism design
- model free
- action selection
- temporal difference
- overlay network
- coalitional games
- educational games
- peer to peer systems
- transfer learning
- learning process
- average reward