Modeling Markov Decision Processes with Imprecise Probabilities Using Probabilistic Logic Programming.
Thiago Pereira BuenoDenis Deratani MauáLeliane N. de BarrosFábio Gagliardi CozmanPublished in: ISIPTA (2017)
Keyphrases
- logic programming
- markov decision processes
- imprecise probabilities
- logic programs
- handling uncertainty
- state space
- probabilistic reasoning
- reinforcement learning
- knowledge representation
- dynamic programming
- optimal policy
- knowledge base
- bayesian networks
- belief functions
- programming language
- generative model
- plan recognition
- probability theory
- knowledge based systems
- probabilistic logic
- markov random field
- probabilistic graphical models
- probabilistic model
- cooperative