Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games.
Stefanos LeonardosWill OvermanIoannis PanageasGeorgios PiliourasPublished in: CoRR (2021)
Keyphrases
- global convergence
- multi agent
- policy gradient
- convergence rate
- global optimum
- convergence speed
- optimization methods
- single agent
- reinforcement learning
- markov chain
- particle swarm
- game theory
- multi agent systems
- game theoretic
- neural network
- objective function
- gradient method
- machine learning
- wavelet transform
- nash equilibrium
- genetic algorithm