Linear Last-iterate Convergence for Matrix Games and Stochastic Games.
Chung-Wei LeeHaipeng LuoChen-Yu WeiMengxiao ZhangPublished in: CoRR (2020)
Keyphrases
- stochastic games
- nash equilibria
- multiagent reinforcement learning
- markov decision processes
- nash equilibrium
- incomplete information
- repeated games
- average reward
- multi agent
- reinforcement learning algorithms
- imperfect information
- game theory
- learning automata
- robust optimization
- game theoretic
- expert systems
- optimal solution