Reinforcement Learning for Mean Field Games, with Applications to Economics.
Andrea AngiuliJean-Pierre FouqueMathieu LaurièrePublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- game theory
- action sets
- learning agents
- game theoretic
- markov random field
- nash equilibria
- nash equilibrium
- function approximation
- video games
- reinforcement learning agents
- temporal difference learning
- state space
- computational intelligence
- machine learning
- markov decision processes
- resource allocation
- multiagent learning
- linear complexity
- reinforcement learning algorithms
- markov networks
- game play
- closed form
- learning algorithm
- multi agent systems
- action selection
- game playing
- belief networks
- optimal policy
- educational games
- computer games
- statistical mechanics
- bayesian inference
- temporal difference
- imperfect information
- dynamic programming
- neural network
- multi agent
- monte carlo
- game design
- optimal control
- model free
- em algorithm
- serious games