Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning.
Kaiqing ZhangZhuoran YangHan LiuTong ZhangTamer BasarPublished in: CoRR (2018)
Keyphrases
- multi agent reinforcement learning
- finite sample
- multi agent
- sample size
- uniform convergence
- statistical learning theory
- nearest neighbor
- error bounds
- cooperative
- multi agent learning
- reinforcement learning
- parzen window
- learning agents
- multi agent systems
- support vector machine
- machine learning
- generalization error
- stochastic games
- upper bound
- generalization bounds
- sufficient conditions
- pairwise
- training set
- distributed control