Model-Based Transfer Reinforcement Learning Based on Graphical Model Representations.
Yuewen SunKun ZhangChangyin SunPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- graphical models
- reinforcement learning
- model free
- belief propagation
- transfer learning
- probabilistic model
- random variables
- probabilistic inference
- structure learning
- probabilistic graphical models
- approximate inference
- relational models
- bayesian networks
- conditional random fields
- graph structure
- belief networks
- state space
- gaussian graphical models
- factor graphs
- statistical inference
- map inference
- conditional independence
- markov networks
- optimal policy
- machine learning
- exact inference
- loopy belief propagation
- learning algorithm
- conditional dependencies
- message passing