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Reinforcement learning coordination with combined heuristics in multi-agent environment for university timetabling

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Published:24 November 2009Publication History

ABSTRACT

University timetabling is a constraint-satisfaction problem where the participants usually have conflicting requirements. Multi-agent environment can solve timetabling problem through representing each participating party with agent. We propose to apply reinforcement learning approach to coordinate agents in a university timetabling system. The system simulation is built on JADE Framework.

References

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  1. Reinforcement learning coordination with combined heuristics in multi-agent environment for university timetabling

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          ICIS '09: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
          November 2009
          1479 pages
          ISBN:9781605587103
          DOI:10.1145/1655925

          Copyright © 2009 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 24 November 2009

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