1. An Inductive Logic Programming Approach to Statistical Relational Learning
2. A Survey of Reinforcement Learning in Relational Domains
3. Exploiting First-Order Regression in Inductive Policy Selection
4. Exploiting First-Order Regression in Inductive Policy Selection - Extended Abstract
5. First Order Decision Diagrams for Decision-Theoretic Planning
6. First Order Markov Decision Processes
7. Hierarchical Structure Discovery and Transfer in Sequential Decision Problems
8. Knowledge and Ignorance in Reinforcement Learning
9. Learning Relational Navigation Policies
10. Learning to transfer optimal navigation policies
11. Mapeamento semantico com aprendizado estattico relacional para representacao de conhecimento em robotica movel
12. Model-Assisted Approaches for Relational Reinforcement Learning: Some challenges for the SRL community
13. Multi-Objective Constraint Satisfaction for Mobile Robot Area Defense
14. Probabilistic Relational Planning with First Order Decision Diagrams
15. Research on Statistical Relational Learning at the University of Washington
16. Simplificacion de los procesos de decision de Markov mediante reglamentacion de acciones y priorizacion de estados
17. Solving Large Markov Decision Processes (depth paper)
18. Solving relational and first-order logical markov decision processes: A survey
19. Transfer in variable-reward hierarchical reinforcement learning
20. Towards Informed Reinforcement Learning
21. Using Common Sense for Decision Making in an Adventure Game
22. Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping