Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium.
Yuma FujimotoKaito AriuKenshi AbePublished in: IJCAI (2023)
Keyphrases
- nash equilibrium
- stochastic games
- game theory
- nash equilibria
- learning algorithm
- game theoretic
- reinforcement learning
- cooperative
- learning process
- mixed strategy
- fictitious play
- stackelberg game
- repeated games
- special case
- imperfect information
- learning agents
- solution concepts
- multiagent learning
- learning tasks
- pure strategy
- minority game
- regret minimization
- objective function