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Asynchronous Proximal Policy Optimization (APPO) has emerged as a crucial framework for achieving scalability in distributed reinforcement learning. In this paper, we propose an enhanced APPO ...

In the face of a complex three-dimensional environment, the computational complexity of the traditional path planning algorithms is extremely increased. But the performance of path planning results is ...