Probabilistic Inference in Planning for Partially Observable Long Horizon Problems.
Alphonsus Adu-BreduNikhil DevrajPin-Han LinZhen ZengOdest Chadwicke JenkinsPublished in: CoRR (2021)
Keyphrases
- probabilistic inference
- partially observable
- decision problems
- partial observability
- influence diagrams
- markov decision problems
- graphical models
- reinforcement learning
- message passing
- classical planning
- dynamical systems
- conditional probabilities
- partially observable markov decision processes
- state space
- bayesian networks
- decision making
- domain independent