Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games.
Tianyi LinZhengyuan ZhouPanayotis MertikopoulosMichael I. JordanPublished in: CoRR (2020)
Keyphrases
- multi agent learning
- game theory
- multiagent learning
- agents and multi agent systems
- game theoretic
- learning agents
- replicator dynamics
- nash equilibrium
- nash equilibria
- cooperative
- multi agent
- multi agent systems
- regret minimization
- convergence rate
- artificial intelligence
- computer games
- game playing
- imperfect information
- neural network
- state space
- domain knowledge