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@InProceedings{AAAI06-yaxin,
	author="Yaxin Liu and Peter Stone",
	title="Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping",
        booktitle="Proceedings of the Twenty-First National Conference on Artificial Intelligence",
        month="July",year="2006",
	pages="415--20",
	abstract={
                  Transfer learning concerns applying knowledge
                  learned in one task (the source) to improve learning
                  another related task (the target). In this paper, we
                  use structure mapping, a psychological and
                  computational theory about analogy making, to find
                  mappings between the source and target tasks and
                  thus construct the transfer functional
                  automatically.  Our structure mapping algorithm is a
                  specialized and optimized version of the structure
                  mapping engine and uses heuristic search to find the
                  best maximal mapping.  The algorithm takes as input
                  the source and target task specifications
                  represented as qualitative dynamic Bayes networks,
                  which do not need probability information.  We apply
                  this method to the Keepaway task from RoboCup
                  simulated soccer and compare the result from
                  automated transfer to that from handcoded transfer.
	},
        wwwnote={<a href="http://www.aaai.org/Conferences/AAAI/aaai06.php">AAAI 2006</a>},
}