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Matthew E. Taylor, Nicholas K. Jong, and Peter
Stone. Transferring Instances for Model-Based Reinforcement Learning. In The Adaptive Learning Agents and Multi-Agent
Systems (ALAMAS+ALAG) workshop at AAMAS, May 2008.
AAMAS
2008 workshop on Adaptive Learning Agents and Multi-Agent Systems
Superseded by the ECML-08 conference paper Transferring
Instances for Model-Based Reinforcement Learning.
(unavailable)
Reinforcement learning agents typically require a significant amount of data before performing well on complex tasks. Transfer learning methods have made progress reducing sample complexity, but they have only been applied to model-free learning methods, not more data-efficient model-based learning methods. This paper introduces TIMBREL, a novel method capable of transferring information effectively into a model-based reinforcement learning algorithm. We demonstrate that TIMBREL can significantly improve the sample complexity and asymptotic performance of a model-based algorithm when learning in a continuous state space.
@inproceedings(AAMAS08-ALAMAS-Taylor, author="Matthew E.\ Taylor and Nicholas K.\ Jong and Peter Stone", title="Transferring Instances for Model-Based Reinforcement Learning", Booktitle="The Adaptive Learning Agents and Multi-Agent Systems ({ALAMAS+ALAG}) workshop at {AAMAS}", month="May", year="2008", abstract = "\emph{Reinforcement learning} agents typically require a significant amount of data before performing well on complex tasks. \emph{Transfer learning} methods have made progress reducing sample complexity, but they have only been applied to model-free learning methods, not more data-efficient model-based learning methods. This paper introduces TIMBREL, a novel method capable of transferring information effectively into a model-based reinforcement learning algorithm. We demonstrate that TIMBREL can significantly improve the sample complexity and asymptotic performance of a model-based algorithm when learning in a continuous state space.", wwwnote={<a href="http://ki.informatik.uni-wuerzburg.de/~kluegl/ALAMAS.ALAg/">AAMAS 2008 workshop on Adaptive Learning Agents and Multi-Agent Systems</a><br> Superseded by the ECML-08 conference paper <a href="http://cs.lafayette.edu/~taylorm/Publications/b2hd-ECML08-Taylor.html">Transferring Instances for Model-Based Reinforcement Learning</a>.}, )
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