This project demonstrates a practical application of reinforcement learning in education. The system adapts to each student's knowledge level and learning style, recommending appropriate content in ...
Abstract: In complex and variable traffic environments, efficient multi-objective urban traffic light scheduling is imperative. However, the carbon emission problem accompanying traffic delays is ...
Abstract: Distribution network reconfiguration (DNR) is one of the most important methods to cope with the increasing electricity demand due to the massive integration of electric vehicles. Most ...
A reinforcement learning agent that learns to play Nim Misère (reverse Nim) through self-play using the Q-Learning algorithm with reward shaping. Built in TypeScript with no external ML libraries - ...
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