Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games.
Jiequn HanRuimeng HuPublished in: MSML (2020)
Keyphrases
- fictitious play
- nash equilibrium
- game theory
- multi agent
- nash equilibria
- game theoretic
- multi agent systems
- cooperative
- stochastic games
- imperfect information
- pareto optimal
- solution concepts
- variational inequalities
- mixed strategy
- worst case
- stackelberg game
- incomplete information
- multi agent learning
- pure strategy
- multiagent systems
- learning agents
- equilibrium strategies
- regret minimization