Abstract: Adversarial Imitation Learning (AIL) is an efficient method for autonomous decision-making in reinforcement learning, as it trains policies effectively by imitating expert demonstrations.
Abstract: In the last decade, the rapid development of deep learning (DL) has made it possible to perform automatic, accurate, and robust Change Detection (CD) on large volumes of Remote Sensing ...
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