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Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals.

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A Study on the Improvement of Acoustic Radiation Characteristics of Flat Panel Exciter Speakers., , and . ICCE, page 1-2. IEEE, (2020)Adaptive learning rule for hardware-based deep neural networks using electronic synapse devices., , , , , , , and . Neural Comput. Appl., 31 (11): 8101-8116 (2019)Efficient precise weight tuning protocol considering variation of the synaptic devices and target accuracy., , , , , , , and . Neurocomputing, (2020)A Study on Improvement of Sound Quality of Flat Display Speaker by Improving Acoustic Radiation Characteristics., , and . CSII (selected papers), volume 848 of Studies in Computational Intelligence, page 79-89. Springer, (2019)Hardware-based Neural Networks using a Gated Schottky Diode as a Synapse Device., , , , , , and . ISCAS, page 1-5. IEEE, (2018)Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals., , , , and . CoRR, (2017)Adaptive Learning Rule for Hardware-based Deep Neural Networks Using Electronic Synapse Devices., , , , , , and . CoRR, (2017)Unsupervised Object Interaction Learning with Counterfactual Dynamics Models., , , , and . AAAI, page 11570-11578. AAAI Press, (2024)Review of candidate devices for neuromorphic applications., , , , , , , , , and 3 other author(s). ESSDERC, page 22-27. IEEE, (2019)Sound Quality Enhancement by using the Single Core Exciter in OLED Panel., , and . KSII Trans. Internet Inf. Syst., 14 (2): 871-888 (2020)