Reinforcement Learning with Algorithms from Probabilistic Structure Estimation.
Jonathan P. EpperleinRoman OverkoSergiy ZhukChristopher K. KingDjallel BouneffoufAndrew CullenRobert ShortenPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- significant improvement
- orders of magnitude
- learning algorithm
- worst case
- stochastic approximation
- neural network
- optimization problems
- computational cost
- probabilistic model
- least squares
- dynamic programming
- lower bound
- benchmark datasets
- data structure
- uncertain data
- graph theory
- model free
- feature selection