Peter Stone's Selected Publications

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TPOT-RL Applied to Network Routing

Peter Stone. TPOT-RL Applied to Network Routing. In Proceedings of the Seventeenth International Conference on Machine Learning, pp. 935–942, 2000.
ICML-2000

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Abstract

Team-partitioned, opaque-transition reinforcement learning (TPOT-RL) is a distributed reinforcement learning technique that allows a team of independent agents to learn a collaborative task. TPOT-RL was first successfully applied to simulated robotic soccer. This paper demonstrates that TPOT-RL is general enough to apply to a completely different domain, namely network packet routing. Empirical results in an abstract network routing simulator indicate that agents situated at individual nodes can learn to efficiently route packets through a network that exhibits changing traffic patterns, based on locally observable sensations.

BibTeX Entry

@InProceedings(ICML2000,
        Author="Peter Stone",
        Title="{TPOT-RL} Applied to Network Routing",
        BookTitle="Proceedings of the Seventeenth International Conference on Machine Learning",
        year="2000",
	pages="935--942",
        abstract={
                  Team-partitioned, opaque-transition reinforcement
                  learning (TPOT-RL) is a distributed reinforcement
                  learning technique that allows a team of independent
                  agents to learn a collaborative task.  TPOT-RL was
                  first successfully applied to simulated robotic
                  soccer.  This paper demonstrates that TPOT-RL is
                  general enough to apply to a completely different
                  domain, namely network packet routing.  Empirical
                  results in an abstract network routing simulator
                  indicate that agents situated at individual nodes
                  can learn to efficiently route packets through a
                  network that exhibits changing traffic patterns,
                  based on locally observable sensations.
        },
        wwwnote={<a href="http://www-csli.stanford.edu/icml2k/">ICML-2000</a>},
)

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