Value-function-based transfer for reinforcement learning using structure mapping

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2006, Pages 415-420

  Liu, Yaxin ^a   Stone, Peter ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYES NETWORKS; HEURISTIC SEARCH; STRUCTURE MAPPING; TRANSFER LEARNING;

ALGORITHMS; COMPUTATION THEORY; COMPUTER SIMULATION; CONFORMAL MAPPING; DATA TRANSFER; HEURISTIC METHODS; KNOWLEDGE ACQUISITION; SEARCH ENGINES;

LEARNING SYSTEMS;

EID: 33750742257     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Boutilier, C.; Dean, T.; and Hanks, S. 1999. Decision-theoretic planning: Structural assumptions and computational leverage. Journal of Artificial Intelligence Research 11:1-94.
2. Dean, T., and Kanazawa, K. 1989. A model for reasoning about persistence and causation. Computational Intelligence 5:142-150.
3. Falkenhainer, B.; Forbus, K. D.; and Gentner, D. 1989. The structure mapping engine: Algorithm and examples. Artificial Intelligence 41:1-63.
4. Gentner, D. 1983. Structure-mapping: A theoretical framework for analogy. Cognitive Science 7:155-170.
5. Guestrin, C.; Koller, D.; Gearhart, C.; and Kanodia, N. 2003a. Generalizing plans to new environments in relational MDPs. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03).
6. Guestrin, C.; Koller, D.; Parr, R.; and Venkataraman, S. 2003b. Efficient solution algorithms for factored MDPs. Journal of Artificial Intelligence Research 19:399-468.
7. Kearns, M. J., and Koller, D. 1999. Efficient reinforcement learning in factored MDPs. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI-99), 740-747.
8. Mausam, and Weld, D. S. 2003. Solving relational MDPs with first-order machine learning. In Proceedings of the ICAPS-03 Workshop on Planning under Uncertainty and Incomplete Information.
9. Pearl, J. 2000. Causality: Models, Reasoning, and Inference. Cambridge University Press.
10. Sallans, B., and Hinton, G. E. 2004. Reinforcement learning with factored states and actions. Journal of Machine Learning Research 5:1063-1088.
11. Stone, P.; Kuhlmann, G.; Taylor, M. E.; and Liu, Y. 2006. Keepaway soccer: From machine learning testbed to benchmark. In RoboCup-2005: Robot Soccer World Cup IX.
12. Sutton. R. S., and Barto, A. G. 1998. Reinforcement Learning: An Introduction. The MIT Press.
13. Taylor, M. E.; Stone, P.; and Liu, Y. 2005. Value functions for RL-based behavior transfer: A comparative study. In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), 880-885.
14. Wellman, M. P. 1990. Fundamental concepts of qualitative probabilistic networks. Artificial Intelligence 44:257-303.