Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games.
Natalia AkchurinaPublished in: AAMAS (2) (2009)
Keyphrases
- stochastic games
- nash equilibrium
- markov decision processes
- nash equilibria
- average reward
- multi agent
- infinite horizon
- game theory
- multiagent reinforcement learning
- special case
- multi agent reinforcement learning
- game theoretic
- repeated games
- learning automata
- optimal policy
- dynamic programming
- imperfect information
- reinforcement learning
- correlated equilibrium
- multiagent systems
- mixed strategy
- multiagent learning
- multi agent systems
- convergence rate