Fast adaptive learning in repeated stochastic games by game abstraction.
Mohamed ElidrisiNicholas JohnsonMaria L. GiniJacob W. CrandallPublished in: AAMAS (2014)
Keyphrases
- adaptive learning
- stochastic games
- nash equilibria
- games with incomplete information
- nash equilibrium
- repeated games
- markov decision processes
- multiagent reinforcement learning
- imperfect information
- learning objects
- reinforcement learning
- learning automata
- multi agent
- learning environment
- game theory
- robust optimization
- average reward
- game theoretic
- learning resources
- incomplete information
- reinforcement learning algorithms
- single agent
- neural network
- machine learning
- e learning
- infinite horizon
- monte carlo