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Incremental reinforcement learning for designing multi-agent systems

Published:28 May 2001Publication History

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References

  1. 1.D. Bernstein, S. Zilberstein, and N. Immerman. The complexity ofdecentralized control of markov decision processes. In Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, Stanford, California, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.C. Watkins. Learning from delayed rewards. PhD thesis, King's College of Cambridge, UK., 1989.Google ScholarGoogle Scholar

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  1. Incremental reinforcement learning for designing multi-agent systems

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            • Published in

              cover image ACM Conferences
              AGENTS '01: Proceedings of the fifth international conference on Autonomous agents
              May 2001
              662 pages
              ISBN:158113326X
              DOI:10.1145/375735

              Copyright © 2001 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 28 May 2001

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              AGENTS '01 Paper Acceptance Rate66of248submissions,27%Overall Acceptance Rate182of599submissions,30%

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