Autonomous transfer for reinforcement learning

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Volumn 1, Issue , 2008, Pages 278-285

  Taylor, Matthew E ^a   Kuhlmann, Gregory ^a   Stone, Peter ^a  

^a University of Texas at Austin   (United States)

Author keywords

Reinforcement learning; Transfer learning

Indexed keywords

LEARNING ALGORITHMS; MULTI AGENT SYSTEMS; REINFORCEMENT LEARNING;

FULL MODEL; HIGH-LEVEL INFORMATION; RELATION MAPPINGS; STATE TRANSITIONS; TASK SELECTION; TRANSFER LEARNING;

AUTONOMOUS AGENTS;

EID: 84876880403     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. A. Agnar and P. Enric. Case-based reasoning: Foundational issues, methodological variations, and system approaches, 1994.
2. J. S. Albus. Brains, Behavior, and Robotics. Byte Books, Peterborough, NH, 1981.
3. S. Dzeroski, L. D. Raedt, and K. Driessens. Relational reinforcement learning. Machine Learning, 43(l/2):5-52, April 2001.
4. F. Fernandez and M. Veloso. Probabilistic policy reuse in a reinforcement learning agent. In Proc. of the 5th International Conf. on Autonomous Agents and Multiagent Systems, 2006.
5. M. Genesereth and N. Love. General game playing: Overview of the AAAI competition. Al Magazine, 26(2), 2005.
6. G. Kuhlmann and P. Stone. Graph-based domain mapping for transfer learning in general games. In Proceedings of The Eighteenth European Conference on Machine Learning, September 2007.
7. Y. Liu and P. Stone. Value-function-based transfer for reinforcement learning using structure mapping. In Proc. of the 21st National Conf. on Artificial Intelligence, July 2006.
8. R. Maclin, J. Shavlik, L. Torrey, T. Walker, and E. Wild. Giving advice about preferred actions to reinforcement learners via knowledge-based kernel regression. In Proceedings of the 20thNational Conference on Artificial Intelligence, 2005.
9. D. Ormoneit and S. Sen. Kernel-based reinforcement learning. Machine Learning, 49(2-3): 161-178, 2002.
10. M.J. D. Powell. An efficient method for finding the minimum of a function of several variables without calculating derivatives. Computer Journal, 7:155-162, 1964.
11. J. Ramon, K. Driessens, and T. Croonenborghs. Transfer learning in reinforcement learning problems through partial policy recycling. In Proc. of The 18th European Conf. on Machine Learning, 2007.
12. G. Rummery and M. Niranjan. On-line Q-leaming using connectionist systems. Technical Report CUED/F-INFENG-RT 116, Engineering Department, Cambridge University, 1994.
13. M. Sharma. M. Holmes, J. C. Santamaria, A. Irani, C. Isbell, and A. Ram. Transfer learning in real-time strategy games using hybrid cbr/rl. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, 2007.
14. S. P. Singh and R. S. Sutton. Reinforcement learning with replacing eligibility traces. Machine Learning, 22:123-158, 1996.
15. V. Soni and S. Singh. Using homomorphisms to transfer options across continuous reinforcement learning domains. In Proc. of the Twenty First National Conf. on Artificial Intelligence, July 2006.
16. K. O. Stanley and R. Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary Computation, 10(2):99-127, 2002.
17. R. S. Sutton and A. G. Barto. Introduction to Reinforcement Learning. MIT Press, 1998.
18. E. Talvitie and S. Singh. An experts algorithm for transfer learning. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, 2007.
19. M. E. Taylor and P. Stone. Cross-domain transfer for reinforcement learning. In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007.
20. M. E. Taylor, P. Stone, and Y. Liu. Transfer learning via inter-task mappings for temporal difference learning. Journal of Machine Learning Research, 8(1):2125-2167, 2007.
21. M. E. Taylor, S. Whiteson, and P. Stone. Transfer via inter-task mappings in policy search reinforcement learning. In The Sixth International Joint AAMAS Conf, May 2007.
22. L. Torrey, T. Walker, J. W. Shavlik, and R. Maclin. Using advice to transfer knowledge acquired in one reinforcement learning task to another. In The 16th European Conf. on Machine Learning, 2005.
23. I. H. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2005.