When is Mean-Field Reinforcement Learning Tractable and Relevant?
Batuhan YardimArtur GoldmanNiao HePublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- function approximation
- dynamic programming
- markov random field
- robotic control
- machine learning
- reinforcement learning algorithms
- optimal policy
- state space
- learning algorithm
- higher order
- np hard
- markov chain
- learning process
- closely related
- markov decision processes
- closed form
- lower bound
- multi agent systems
- statistical mechanics