Graph theory is moving from textbooks to traffic lights, powering smarter transportation networks worldwide. From retail deliveries to freight corridors and urban commuting, it helps planners cut ...
Abstract: To enhance the multi-target path planning and tracking performance of Unmanned Surface Vehicles (USVs), a combined control strategy integrating the Serret-Frenet Line-of-Sight (SFLOS) ...
A Comparative Study on Nature-Inspired Algorithms Finding Optimal Policies in Reinforcement Learning
Abstract: Reinforcement Learning (RL) is a powerful machine learning paradigm in which agents learn to maximize cumulative rewards by interacting with an environment to derive optimal policies. A key ...
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