Approximation methods for infinite Bayesian Stackelberg games: modeling distributional payoff uncertainty.
Christopher KiekintveldJanusz MareckiMilind TambePublished in: AAMAS (2011)
Keyphrases
- approximation methods
- game theory
- nash equilibrium
- nash equilibria
- mixed strategy
- game theoretic
- probabilistic model
- machine learning
- stackelberg game
- leader follower
- evolutionary game theory
- payoff functions
- repeated games
- fuzzy neural network
- dynamic programming
- search algorithm
- objective function
- bayesian networks