Zero-sum constrained stochastic games with independent state processes.
Eitan AltmanKonstantin AvrachenkovRichard MarquezGregory B. MillerPublished in: Math. Methods Oper. Res. (2005)
Keyphrases
- stochastic games
- nash equilibria
- games with incomplete information
- multiagent reinforcement learning
- markov decision processes
- state space
- repeated games
- nash equilibrium
- multi agent
- machine learning
- imperfect information
- reinforcement learning algorithms
- learning automata
- robust optimization
- average reward
- incomplete information
- state transitions
- single agent
- search algorithm
- knowledge base