Answer Set Programming for Non-Stationary Markov Decision Processes.
Leonardo Anjoletto FerreiraReinaldo A. C. BianchiPaulo E. SantosRamón López de MántarasPublished in: CoRR (2017)
Keyphrases
- non stationary
- answer set programming
- markov decision processes
- logic programming
- logic programs
- answer sets
- finite state
- state space
- reinforcement learning
- optimal policy
- answer set programs
- transition matrices
- decision theoretic planning
- finite horizon
- dynamic programming
- policy iteration
- planning under uncertainty
- infinite horizon
- knowledge representation
- markov decision process
- average cost
- partially observable
- reward function
- average reward
- empirical mode decomposition
- data mining
- long run
- object oriented
- learning algorithm