Characterization and simplification of optimal strategies in positive stochastic games.
János FleschArkadi PredtetchinskiWilliam D. SudderthPublished in: J. Appl. Probab. (2018)
Keyphrases
- optimal strategy
- stochastic games
- decision problems
- nash equilibria
- single agent
- markov decision processes
- monte carlo
- multiagent reinforcement learning
- multi agent
- nash equilibrium
- learning automata
- mathematical models
- reinforcement learning algorithms
- expected utility
- genetic algorithm
- average reward
- cooperative
- game theory
- imperfect information
- repeated games
- game theoretic
- infinite horizon
- incomplete information
- utility function
- markov chain
- computational complexity
- reinforcement learning