Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines.
Martin SchmidNeil BurchMarc LanctotMatej MoravcikRudolf KadlecMichael BowlingPublished in: CoRR (2018)
Keyphrases
- variance reduction
- monte carlo
- regret minimization
- extensive form games
- influence diagrams
- game theoretic
- importance sampling
- nash equilibrium
- decision problems
- quasi monte carlo
- markov chain
- monte carlo tree search
- particle filter
- multi agent
- game theory
- decision trees
- probabilistic inference
- policy gradient
- machine learning
- graphical models
- decision making