Decidability Results for Multi-objective Stochastic Games.
Romain BrenguierVojtech ForejtPublished in: CoRR (2016)
Keyphrases
- stochastic games
- multi objective
- evolutionary algorithm
- nash equilibria
- multiagent reinforcement learning
- objective function
- markov decision processes
- genetic algorithm
- multi agent
- nash equilibrium
- learning automata
- reinforcement learning algorithms
- single agent
- average reward
- imperfect information
- repeated games
- infinite horizon
- tabu search
- optimal solution
- game theory
- incomplete information
- learning agent
- reinforcement learning
- neural network