Abstract: To address the issues of model switching lag and insufficient accuracy in the Interacting Multiple Model (IMM) algorithm for tracking complex maneuvering targets, this paper proposes a deep ...
Abstract: This study proposes a low-level radio frequency (LLRF) feedback control algorithm based on reinforcement learning (RL) using the soft actor–critic (SAC) and proximal policy optimization (PPO ...
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