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CCAM-DI: Reinforcement Learning-Based Autonomous Intersection Control
This dataset contains the code, configurations, and trained models for a reinforcement learning (RL)-based autonomous intersection control system developed using a multi-agent framework and the SUMO traffic simulator. The first study (On Performance Improvement of Reinforcement Learning for Collis
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