Recursive Stochastic Games with Positive Rewards.
Kousha EtessamiDominik WojtczakMihalis YannakakisPublished in: ICALP (1) (2008)
Keyphrases
- stochastic games
- markov decision processes
- nash equilibria
- multiagent reinforcement learning
- multi agent
- average reward
- reinforcement learning
- reinforcement learning algorithms
- learning automata
- finite state
- infinite horizon
- nash equilibrium
- repeated games
- optimal policy
- dynamic programming
- state space
- cooperative
- imperfect information
- markov decision process
- policy iteration
- finite horizon
- genetic algorithm
- linear programming
- search space
- robust optimization
- single agent
- reward function
- monte carlo