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

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.