Automatically mapped transfer between reinforcement learning tasks via three-way restricted Boltzmann machines

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

Volumn 8189 LNAI, Issue PART 2, 2013, Pages 449-464

  Ammar, Haitham Bou ^a   Mocanu, Decebal Constantin ^a   Taylor, Matthew E ^b   Driessens, Kurt ^a   Tuyls, Karl ^a   Weiss, Gerhard ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

^b WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Boltzmann Machines; Inter task mapping; Least Squares Policy Iteration; Reinforcement Learning; Transfer Learning

Indexed keywords

BOLTZMANN MACHINES; COMPUTATIONALLY EFFICIENT; FACTORED MODELS; FULL MODEL; LEAST SQUARES POLICY ITERATIONS; REINFORCEMENT LEARNING APPROACH; RESTRICTED BOLTZMANN MACHINE; TRANSFER LEARNING;

LEARNING ALGORITHMS;

REINFORCEMENT LEARNING;

EID: 84886502372     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40991-2_29     Document Type: Conference Paper

References (19)

1. Ackley, H., Hinton, E., Sejnowski, J.: A learning algorithm for boltzmann machines. Cognitive Science, 147-169 (1985)
2. Bengio, Y.: Learning deep architectures for AI. Foundations and Trends in Machine Learning 2(1), 1-127 (2009); Also published as a book. Now Publishers (2009)
3. Bou-Ammar, H., Taylor, M., Tuyls, K., Driessens, K., Weiss, G.: Reinforcement learning transfer via sparse coding. In: Proceedings of AAMAS (2012)
4. Buşoniu, L., Babuška, R., De Schutter, B., Ernst, D.: Reinforcement Learning and Dynamic Programming Using Function Approximators. CRC Press, Boca Raton (2010)
5. Einstein, A.: The Foundation of the General Theory of Relativity. Annalen Phys. 49, 769-822 (1916)
6. Hinton, G.E.: Training Products of Experts by Minimizing Contrastive Divergence. Neural Computation 14(8), 1771-1800 (2002)
7. Konidaris, G., Barto, A.: Autonomous shaping: knowledge transfer in reinforcement learning. In: Proceedings of ICML (2006)
8. Kuhlmann, G., Stone, P.: Graph-based domain mapping for transfer learning in general games. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) ECML 2007. LNCS (LNAI), vol. 4701, pp. 188-200. Springer, Heidelberg (2007)
9. Lazaric, A., Restelli, M., Bonarini, A.: Transfer of samples in batch reinforcement learning. In: Proceedings of ICML (2008)
10. Liu, Y., Stone, P.: Value-function-based transfer for reinforcement learning using structure mapping. In: Proceedings of AAAI (2006)
11. Selfridge, O.G., Sutton, R.S., Barto, A.G.: Training and tracking in robotics. In: IJCAI (1985)
12. Singh, S.: Transfer of learning by composing solutions of elemental sequential tasks. Machine Learning, 323-339 (1992)
13. Sutton, R.S., Barto, A.G.: Reinforcement learning: An introduction (1998)
14. Talvitie, E., Singh, S.: An experts algorithm for transfer learning. In: Proceedings of IJCAI (2007)
15. Taylor, G.W., Hinton, G.E., Roweis, S.T.: Two distributed-state models for generating high-dimensional time series. Journal of Machine Learning Research 12, 1025-1068 (2011)
16. Taylor, M.E., Kuhlmann, G., Stone, P.: Autonomous transfer for reinforcement learning. In: Proceedings of AAMAS (2008)
17. Taylor, M.E., Stone, P.: Transfer learning for reinforcement learning domains: A survey. Journal of Machine Learning Research 10, 1633-1685 (2009)
18. Taylor, M.E., Stone, P., Liu, Y.: Transfer learning via inter-task mappings for temporal difference learning. Journal of Machine Learning Research 8(1), 2125-2167 (2007)
19. Taylor, M.E., Whiteson, S., Stone, P.: Transfer via inter-task mappings in policy search reinforcement learning. In: Proceedings of AAMAS (2007)