Tauberian theorems for general iterations of operators: Applications to zero-sum stochastic games.
Bruno ZiliottoPublished in: Games Econ. Behav. (2018)
Keyphrases
- stochastic games
- nash equilibria
- games with incomplete information
- multiagent reinforcement learning
- special case
- markov decision processes
- multi agent
- nash equilibrium
- average reward
- robust optimization
- reinforcement learning algorithms
- learning automata
- imperfect information
- repeated games
- machine learning
- reinforcement learning
- incomplete information
- learning algorithm