Reinforcement Learning for Mean-Field Game.
Mridul AgarwalVaneet AggarwalArnob GhoshNilay TiwariPublished in: Algorithms (2022)
Keyphrases
- reinforcement learning
- function approximation
- game playing
- computer games
- game theory
- belief networks
- video games
- statistical mechanics
- markov decision processes
- reinforcement learning algorithms
- temporal difference learning
- educational games
- game theoretic
- free energy
- state space
- model free
- serious games
- stochastic games
- monte carlo tree search
- learning algorithm
- game play
- closed form
- markov random field
- markov networks
- nash equilibrium
- temporal difference
- em algorithm
- machine learning
- monte carlo
- linear complexity
- multi agent systems
- reinforcement learning agents