Reinforcement Learning for Mean Field Game.
Nilay TiwariArnob GhoshVaneet AggarwalPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- computer games
- game theory
- function approximation
- markov random field
- monte carlo tree search
- video games
- state space
- learning algorithm
- reinforcement learning methods
- closed form
- em algorithm
- temporal difference learning
- game playing
- markov decision processes
- game based learning
- temporal difference
- markov networks
- optimal control
- nash equilibrium
- educational games
- game theoretic
- serious games
- optimal policy
- reinforcement learning algorithms
- imperfect information
- game development
- nash equilibria
- linear complexity
- monte carlo
- belief networks
- free energy
- digital games
- variational methods
- dynamic programming
- model free
- markov chain monte carlo