General limit value in zero-sum stochastic games.
Bruno ZiliottoPublished in: Int. J. Game Theory (2016)
Keyphrases
- stochastic games
- nash equilibria
- games with incomplete information
- special case
- markov decision processes
- multi agent
- multiagent reinforcement learning
- nash equilibrium
- repeated games
- incomplete information
- learning automata
- imperfect information
- reinforcement learning algorithms
- computational complexity
- search algorithm
- robust optimization
- learning process
- average reward
- learning algorithm