An epistemic approach to stochastic games.
Andrés PereaArkadi PredtetchinskiPublished in: Int. J. Game Theory (2019)
Keyphrases
- stochastic games
- nash equilibria
- games with incomplete information
- markov decision processes
- multiagent reinforcement learning
- multi agent
- learning automata
- average reward
- nash equilibrium
- reinforcement learning algorithms
- repeated games
- infinite horizon
- learning algorithm
- robust optimization
- single agent
- incomplete information
- lower bound
- machine learning