Relational macros for transfer in reinforcement learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4894 LNAI, Issue , 2008, Pages 254-268

  Torrey, Lisa ^a   Shavlik, Jude ^a   Walker, Trevor ^a   MacLin, Richard ^b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF MINNESOTA DULUTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; FORMAL LOGIC; KNOWLEDGE ACQUISITION; LOGIC PROGRAMMING;

INDUCTIVE LOGIC PROGRAMMING; RELATIONAL MACRO TRANSFER; TRANSFER LEARNING;

REINFORCEMENT LEARNING;

EID: 40249114836     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78469-2_25     Document Type: Conference Paper

References (22)

1. Croonenborghs, T., Driessens, K., Bruynooghe, M.: Learning relational skills for inductive transfer in relational reinforcement learning. In: International Conference on Inductive Logic Programming (2007)
2. Dietterich, T.: Hierarchical reinforcement learning with the MAXQ value function decomposition. Journal of Artificial Intelligence Research 13, 227-303 (2000)
3. Driessens, K., Dzeroski, S.: Integrating guidance into relational reinforcement learning. Machine Learning 57(3), 271-304 (2004)
4. Driessens, K., Ramon, J., Croonenborghs, T.: Transfer learning for reinforcement learning through goal and policy parametrization. In: ICML Workshop on Structural Knowledge Transfer for Machine Learning (2006)
5. Fernandez, F., Veloso, M.: Policy reuse for transfer learning across tasks with different state and action spaces. In: ICML Workshop on Structural Knowledge Transfer for Machine Learning (2006)
6. Gill, A.: Introduction to the Theory of Finite-state Machines. McGraw-Hill, New York (1962)
7. Maclin, R., Shavlik, J., Torrey, L., Walker, T.: Knowledge-based support vector regression for reinforcement learning. In: IJCAI Workshop on Reasoning, Representation, and Learning in Computer Games (2005)
8. Maclin, R., Shavlik, J., Torrey, L., Walker, T., Wild, E.: Giving advice about preferred actions to reinforcement learners via knowledge-based kernel regression. In: AAAI Conference on Artificial Intelligence (2005)
9. Noda, I., Matsubara, H., Hiraki, K., Frank, I.: Soccer server: A tool for research on multiagent systems. Applied Artificial Intelligence 12, 233-250 (1998)
10. Perkins, T., Precup, D.: Using options for knowledge transfer in reinforcement learning. Technical Report UM-CS-1999-034 (1999)
11. Soni, V., Singh, S.: Using homomorphisms to transfer options across continuous reinforcement learning domains. In: AAAI Conference on Artificial Intelligence (2006)
12. Srinivasan, A.: The Aleph manual (2001)
13. Stone, P., Sutton, R.: Scaling reinforcement learning toward RoboCup soccer. In: International Conference on Machine Learning (2001)
14. Stracuzzi, D., Asgharbeygi, N.: Transfer of knowledge structures with relational temporal difference learning. In: ICML Workshop on Structural Knowledge Transfer for Machine Learning (2006)
15. Sutton, R.: Learning to predict by the methods of temporal differences. Machine Learning 3, 9-44 (1988)
16. Sutton, R., Barto, A.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (1998)
17. Tadepalli, P., Givan, R., Driessens, K.: Relational reinforcement learning: An overview. In: ICML Workshop on Relational Reinforcement Learning (2004)
18. Taylor, M., Stone, P.: Cross-domain transfer for reinforcement learning. In: International Conference on Machine Learning (2007)
19. Taylor, M., Stone, P., Liu, Y.: Value functions for RL-based behavior transfer: A comparative study. In: AAAI Conference on Artificial Intelligence (2005)
20. Torrey, L., Shavlik, J., Walker, T., Maclin, R.: Skill acquisition via transfer learning and advice taking. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) ECML 2006. LNCS (LNAI), vol. 4212, Springer, Heidelberg (2006)
21. Torrey, L., Walker, T., Shavlik, J., Maclin, R.: Using advice to transfer knowledge acquired in one reinforcement learning task to another. In: Gama, J., Camacho, R., Brazdil, P.B., Jorge, A.M., Torgo, L. (eds.) ECML 2005. LNCS (LNAI), vol. 3720, Springer, Heidelberg (2005)
22. Watkins, C.: Learning from delayed rewards. PhD thesis, University of Cambridge (1989)