Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning.
René CarmonaMathieu LaurièreZongjun TanPublished in: CoRR (2019)
Keyphrases
- model free
- reinforcement learning
- reinforcement learning algorithms
- markov random field
- policy iteration
- function approximation
- markov decision processes
- state space
- temporal difference
- optimal policy
- bayesian inference
- average reward
- policy evaluation
- markov decision process
- machine learning
- learning algorithm
- temporal difference learning
- reinforcement learning methods
- rl algorithms
- hierarchical reinforcement learning
- action selection
- learning problems
- fixed point
- graph cuts
- dynamic programming
- linear programming
- supervised learning
- pairwise
- support vector
- multi agent reinforcement learning
- multi agent
- impedance control