We investigate multi-agent deep reinforcement learning and propose two enhancements to the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm. First, we introduce a novel Action ...
Introduction to Thesis Code Implementation Projects The code implementation of this thesis is mainly divided into two independent projects, which are respectively responsible for deep reinforcement ...
Abstract: Traditional trajectory planning algorithms for multi-UAVs face challenges such as difficulty in establishing cooperative mechanisms and poor adaptability to dynamic obstacle environments. To ...
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