Reinforcement learning with algorithms from probabilistic structure estimation.
Jonathan P. EpperleinRoman OverkoSergiy ZhukChristopher K. KingDjallel BouneffoufAndrew CullenRobert ShortenPublished in: Autom. (2022)
Keyphrases
- reinforcement learning
- significant improvement
- learning algorithm
- orders of magnitude
- data sets
- data structure
- learning process
- graph theory
- times faster
- optimization problems
- computationally efficient
- stochastic approximation
- reinforcement learning algorithms
- benchmark datasets
- machine learning algorithms
- theoretical analysis
- data mining techniques
- semi supervised
- state space
- probability distribution
- probabilistic model
- computational complexity
- image segmentation