On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference.
Mohamed BaioumyBruno LacerdaPaul DuckworthNick HawesPublished in: PKDD/ECML Workshops (1) (2021)
Keyphrases
- multistage
- probabilistic inference
- markov decision process
- stochastic shortest path
- optimal policy
- markov decision processes
- markov decision problems
- dynamic programming
- state space
- graphical models
- average cost
- policy iteration
- infinite horizon
- bayesian networks
- reinforcement learning
- approximate inference
- message passing
- belief networks
- finite state
- influence diagrams
- conditional probabilities
- reward function
- initial state
- action space
- belief propagation
- generative model