Making Sense of Reinforcement Learning and Probabilistic Inference.
Brendan O'DonoghueIan OsbandCatalin IonescuPublished in: ICLR (2020)
Keyphrases
- probabilistic inference
- reinforcement learning
- graphical models
- influence diagrams
- belief networks
- conditional probabilities
- bayesian belief networks
- context specific independence
- weighted model counting
- approximate inference
- probabilistic reasoning
- message passing
- bayesian networks
- bucket elimination
- elimination algorithm
- efficient inference
- optimal policy
- variable elimination
- learning algorithm
- machine learning
- post processing
- state space
- probability distribution
- probabilistic model
- learning process