AR-GE-250-2020-(1).pdf - YASED
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Transfer Reinforcement Learning Using Output-Gated Working ...His current research interests include reinforcement learning and dynamic programming with function approximation, intelligent and learning techniques for ... Reinforcement Learning In Continuous Time and Space - CS.HUJIIn Reinforcement Learning (RL), an agent learns how to act in an unknown environment in order to maximize its reward in the long run. In recent ... Munchausen Reinforcement Learning - NIPSThis paper presents a tensor decomposition (TD) based reduced-order model of the hierarchical deep-learning neural networks (HiDeNN).
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