The project aims to develop a reinforcement learning model for autonomous control in a dynamic highway environment. It involves cars, pedestrians, and traffic lights, with the goal of optimizing interactions for smooth traffic flow, safety, and efficiency, mirroring real-world traffic systems.
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The project aims to develop a reinforcement learning model for autonomous control in a dynamic highway environment. It involves cars, pedestrians, and traffic lights, with the goal of optimizing interactions for smooth traffic flow, safety, and efficiency, mirroring real-world traffic systems.
KhansaKhanam/ReinforcementLearning_FinalCourseProject
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The project aims to develop a reinforcement learning model for autonomous control in a dynamic highway environment. It involves cars, pedestrians, and traffic lights, with the goal of optimizing interactions for smooth traffic flow, safety, and efficiency, mirroring real-world traffic systems.
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