A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games.
Zaiwei ChenKaiqing ZhangEric MazumdarAsuman E. OzdaglarAdam WiermanPublished in: NeurIPS (2023)
Keyphrases
- stochastic games
- finite sample
- repeated games
- nash equilibria
- nash equilibrium
- multiagent reinforcement learning
- learning process
- game theory
- incomplete information
- markov decision processes
- sample size
- learning automata
- single agent
- upper bound
- reinforcement learning
- learning tasks
- reinforcement learning algorithms
- supervised learning
- statistical learning theory
- average reward
- learning algorithm