Abstract: In multi-UAV air combat, traditional reinforcement learning (RL) struggles with high computational demands and policy learning inefficiencies arising from complex mission tasks and intensive ...
Abstract: Accurate wind power forecasting is crucial for efficient power grid operation with significant wind power integration. This study compares tree-based learning algorithms and advanced machine ...
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