Probabilistic Inference in Planning for Partially Observable Long Horizon Problems.
Alphonsus Adu-BreduNikhil DevrajPin-Han LinZhen ZengOdest Chadwicke JenkinsPublished in: IROS (2021)
Keyphrases
- probabilistic inference
- partially observable
- partial observability
- decision problems
- bayesian networks
- reinforcement learning
- markov decision processes
- influence diagrams
- markov decision problems
- classical planning
- approximate inference
- np complete
- graphical models
- belief networks
- decision making
- infinite horizon
- state space
- message passing
- conditional probabilities
- planning domains
- belief state
- partially observable markov decision processes
- orders of magnitude
- generative model