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Matthew E. Taylor, Shimon Whiteson, and Peter
Stone. Transfer Learning for Policy Search Methods. In ICML workshop on Structural Knowledge Transfer for Machine
Learning, June 2006.
ICML-2006 workshop on Structural Knowledge
Transfer for Machine Learning.
Superseded by the conference paper Transfer
via Inter-Task Mappings in Policy Search Reinforcement Learning.
(unavailable)
An ambitious goal of transfer learning is to learn a task faster after training on a different, but related, task. In this paper we extend a previously successful temporal difference approach to transfer in reinforcement learning tasks to work with policy search. In particular, we show how to construct a mapping to translate a population of policies trained via genetic algorithms (GAs) from a source task to a target task. Empirical results in robot soccer Keepaway, a standard RL benchmark domain, demonstrate that transfer via inter-task mapping can markedly reduce the time required to learn a second, more complex, task.
@InProceedings(ICML06-taylor, author="Matthew E.\ Taylor and Shimon Whiteson and Peter Stone", title="Transfer Learning for Policy Search Methods", Booktitle="{ICML} workshop on Structural Knowledge Transfer for Machine Learning", month="June", year="2006", abstract={An ambitious goal of transfer learning is to learn a task faster after training on a different, but related, task. In this paper we extend a previously successful temporal difference approach to transfer in reinforcement learning tasks to work with policy search. In particular, we show how to construct a mapping to translate a population of policies trained via genetic algorithms (GAs) from a source task to a target task. Empirical results in robot soccer Keepaway, a standard RL benchmark domain, demonstrate that transfer via inter-task mapping can markedly reduce the time required to learn a second, more complex, task.}, wwwnote={<a href="http://www.cs.utexas.edu/~banerjee/icmlws06/">ICML-2006 workshop on Structural Knowledge Transfer for Machine Learning</a>.<br> Superseded by the conference paper <a href="http://cs.lafayette.edu/~taylorm/Publications/b2hd-AAMAS07-taylor.html">Transfer via Inter-Task Mappings in Policy Search Reinforcement Learning</a>.}, )
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