Markov Decision Processes Specified by Probabilistic Logic Programming: Representation and Solution.
Thiago Pereira BuenoDenis Deratani MauáLeliane N. de BarrosFábio Gagliardi CozmanPublished in: BRACIS (2016)
Keyphrases
- logic programming
- markov decision processes
- decision theoretic planning
- logic programs
- representing knowledge
- probabilistic reasoning
- deductive databases
- logic programming language
- optimal policy
- answer set programming
- state space
- probabilistic planning
- nonmonotonic reasoning
- reinforcement learning
- knowledge representation
- programming language
- dynamic programming
- policy iteration
- knowledge base
- answer sets
- transition matrices
- probabilistic logic
- planning under uncertainty
- markov decision process
- representation language
- optimal solution
- infinite horizon
- average cost
- machine learning
- inductive logic programming
- relational databases
- bayesian networks
- probabilistic logic programs
- expert systems