Probabilistic Inference in Reinforcement Learning Done Right.
Jean TarbouriechTor LattimoreBrendan O'DonoghuePublished in: CoRR (2023)
Keyphrases
- probabilistic inference
- reinforcement learning
- graphical models
- influence diagrams
- bayesian networks
- message passing
- approximate inference
- bayesian belief networks
- belief networks
- weighted model counting
- context specific independence
- machine learning
- exact inference
- conditional probabilities
- state space
- probabilistic reasoning
- bucket elimination
- optimal policy
- efficient inference
- elimination algorithm
- learning algorithm
- data sets
- belief propagation
- higher order
- dynamic programming
- variable elimination