An Extension of Bayesian Game Approximation to Partially Observable Stochastic Games with Competition and Cooperation.
Dongqing ShiMichael Z. SauterXueqing SunLaura E. RayJerald D. KralikPublished in: IC-AI (2010)
Keyphrases
- partially observable stochastic games
- nash equilibrium
- multi agent
- dynamic programming
- cooperative
- game theory
- public goods
- equilibrium strategies
- computer poker
- video games
- game theoretic
- educational games
- computer games
- multi agent systems
- partially observable markov decision processes
- maximum likelihood
- marginal likelihood
- game playing
- reinforcement learning
- machine learning
- game play
- worst case
- incentive mechanism
- state space
- bayesian networks