Association rule-based Markov Decision Processes.
Ma. de Guadalupe García-HernándezJosé Ruiz-PinalesAlberto Reyes-BallesterosEva OnaindiaJuan Gabriel Aviña-CervantesSergio LedesmaDonato HernándezPublished in: LA-NMR (2008)
Keyphrases
- markov decision processes
- optimal policy
- state space
- finite state
- reinforcement learning
- policy iteration
- transition matrices
- dynamic programming
- factored mdps
- decision processes
- partially observable
- action space
- infinite horizon
- reinforcement learning algorithms
- markov decision process
- reachability analysis
- model based reinforcement learning
- finite horizon
- decision theoretic planning
- risk sensitive
- planning under uncertainty
- average cost
- state and action spaces
- semi markov decision processes
- state abstraction
- decision problems
- multistage
- real time dynamic programming