Reinforcement Learning in Stationary Mean-field Games.
Jayakumar SubramanianAditya MahajanPublished in: AAMAS (2019)
Keyphrases
- reinforcement learning
- action sets
- learning agents
- non stationary
- function approximation
- reinforcement learning agents
- multiagent learning
- video games
- markov decision processes
- markov random field
- learning algorithm
- nash equilibria
- reinforcement learning algorithms
- game theory
- temporal difference learning
- stochastic games
- closed form
- learning process
- belief networks
- em algorithm
- statistical mechanics
- optimal policy
- linear complexity
- game theoretic
- game playing
- bayesian inference
- optimal control
- computer games
- fixed point
- action space
- game design
- serious games
- coalitional games
- nash equilibrium