Abstract: Unmanned Aerial Vehicle (UAV) path planning is a critical task that directly affects the efficiency and safety of UAV operations in various fields. This paper proposes an improved Bi-RRT* ...
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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