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