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

  • Authors:
  • Olga Yugay;Lee Tae Kyung;Franz I. S. Ko

  • Affiliations:
  • Dongguk University, Seokjang-dong, Gyongju-si, Gyongsangbuk-do, South Korea;Dongguk University, Seokjang-dong, Gyongju-si, Gyongsangbuk-do, South Korea;Dongguk University, Seokjang-dong, Gyongju-si, Gyongsangbuk-do, South Korea

  • Venue:
  • Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
  • Year:
  • 2009

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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.