Perfect information two-person zero-sum markov games with imprecise transition probabilities.
Hyeong Soo ChangPublished in: Math. Methods Oper. Res. (2006)
Keyphrases
- transition probabilities
- markov games
- perfect information
- markov decision process
- markov chain
- multiagent reinforcement learning
- random walk
- markov decision processes
- markov models
- markov decision problems
- imperfect information
- reward function
- reinforcement learning algorithms
- stochastic games
- reinforcement learning
- multiagent systems
- state space
- game tree
- policy iteration
- hidden variables
- board game
- markov model
- multi agent
- nash equilibrium
- function approximation
- monte carlo