One of my favorite STEM challenges—hands-on problem-based activities designed to build students’ critical thinking and perseverance—tasked students with building the tallest freestanding platform ...
Abstract: Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle under all ...
Abstract: Constrained optimization problems are pervasive in various fields, and while conventional techniques offer solutions, they often struggle with scalability. Leveraging the power of deep ...
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