This development project was created in a course (Frontiers in Artificial Intelligence) provided by UTokyo. We students work on research projects on AI-related topics or development projects on AI-powered systems. What I have worked on is AI-powered progress management system (AI-PMS).
On AI-PMS, users can try out job-scheduling on their existing tasks. The AI-powered system gives them suggestions on what task they should first deal with.
This AI-powered system is based on reinforcement learning (RL); it solves the job scheduling problem with the RL framework, not a rule-based approach. Specifically, it uses Deep Q-Network (DQN) algorithm implemented in shaRL.
Presentation slides used in the course can be seen at Aiproject/demo.
A small document about AI-PMS is available at Aiproject/docs.
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