Abstract: For dynamic task scheduling problems in cloud computing environments, we propose a deep reinforcement learning algorithm based on graph neural networks (GNN-PPO) that enables real-time ...

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 ...

The future of commodity trading will be about adapting to new situations. Those who adapt will find themselves at the ...