On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference.
Mohamed BaioumyBruno LacerdaPaul DuckworthNick HawesPublished in: CoRR (2021)
Keyphrases
- probabilistic inference
- markov decision process
- stochastic shortest path
- markov decision processes
- markov decision problems
- state space
- optimal policy
- graphical models
- policy iteration
- bayesian networks
- reinforcement learning
- approximate inference
- finite state
- conditional probabilities
- influence diagrams
- belief networks
- message passing
- dynamic programming
- transition probabilities
- infinite horizon
- action space
- partially observable
- reward function
- belief propagation
- decision processes
- reinforcement learning algorithms
- initial state
- decision problems
- conditional random fields
- long run