A Tauberian Theorem for Nonexpansive Operators and Applications to Zero-Sum Stochastic Games.

Published in: Math. Oper. Res. (2016)

Keyphrases

stochastic games
nash equilibria
convergence theorem
games with incomplete information
markov decision processes
multiagent reinforcement learning
average reward
learning automata
multi agent
reinforcement learning algorithms
robust optimization
infinite horizon
repeated games
imperfect information
cooperative