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@article{SIGecom11,
        author="David Pardoe and Peter Stone",
        title="Designing Adaptive Trading Agents",
        month="June",year="2011",
        volume="10",number="2",pages="37--9",
        journal="{ACM} {SIG}ecom Exchanges",
        abstract={
                  This extended abstract summarizes the research
                  presented in Dr. Pardoe's recently-completed Ph.D.
                  thesis.  The thesis considers how
                  adaptive trading agents can take advantage of
                  previous experience (real or simulated) in other
                  markets while remaining robust in the face of novel
                  situations in a new market.  Its contributions are
                  at the intersection of machine learning and
                  electronic commerce, with particular focus on
                  transfer learning and fully autonomous trading
                  agents.},
        wwwnote={<a href="http://www.acm.org/sigecom/exchanges/">SIGecom Exchanges</a>},
}