Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization.
Michael JohansonNolan BardMarc LanctotRichard G. GibsonMichael BowlingPublished in: AAMAS (2012)
Keyphrases
- monte carlo
- regret minimization
- nash equilibrium
- markovian decision
- game theory
- game theoretic
- importance sampling
- monte carlo simulation
- adaptive sampling
- markov chain
- monte carlo tree search
- stackelberg game
- nash equilibria
- stochastic games
- matrix inversion
- pure strategy
- temporal difference
- multi agent learning
- particle filter
- cooperative
- bayesian networks
- optimal strategy
- graphical models
- worst case