Is Nash Equilibrium Approximator Learnable?
Zhijian DuanWenhan HuangDinghuai ZhangYali DuJun WangYaodong YangXiaotie DengPublished in: AAMAS (2023)
Keyphrases
- nash equilibrium
- game theory
- game theoretic
- mixed strategy
- variational inequalities
- pure strategy
- pareto optimal
- solution concepts
- nash equilibria
- learning algorithm
- stackelberg game
- stochastic games
- worst case
- profit maximizing
- regret minimization
- membership queries
- repeated games
- equilibrium strategies
- genetic algorithm
- function approximators
- fictitious play
- function approximation