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Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization.

, , , and . CoRR, (2018)

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Interaction is More Beneficial in Complex Reinforcement Learning Problems than in Simple Ones, , , and . Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, page 142-150. (March 2015)How do we approach intrinsic motivation computationally.. Frontiers Neurorobotics, (2008)Robot Docking Based on Omnidirectional Vision and Reinforcement Learning., , and . SGAI Conf., page 23-36. Springer, (2005)KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos., , , and . CoRR, (2019)Language-Model-Based Paired Variational Autoencoders for Robotic Language Learning., , , , and . IEEE Trans. Cogn. Dev. Syst., 15 (4): 1812-1824 (December 2023)Disentangling Prosody Representations With Unsupervised Speech Reconstruction., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading., , and . IEEE Trans. Neural Networks Learn. Syst., 35 (2): 2772-2782 (February 2024)Survey on reinforcement learning for language processing., , , , and . CoRR, (2021)What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective., , , , , , , , and . CoRR, (2019)Disentangling Prosody Representations with Unsupervised Speech Reconstruction., , , , , and . CoRR, (2022)