Deep Reinforcement Learning-Based Adaptive Nulling in Phased Array Under Dynamic Environments by Ying-Dar Lin, Jen-Hao Chang, Yuan-Cheng Lai

“…DRLnuller adopts the Proximal Policy Optimization (PPO) algorithm, a typical reinforcement learning algorithm, to dynamically optimize phased array weights through continuous interaction with the environment without relying on pre-computed or labeled data. …”
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