Associative Learning
Law of Effect
Cognitive Learning
Purposive Learning
Reinforcement
Generalization, Discrimination, and Extinction
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Michele Garibbo1, Casimir J H Ludwig2, Nathan F Lepora3
1Department of Engineering Mathematics, Faculty of Engineering, University of Bristol, Bristol BS8 1QU, U.K. michele.garibbo@bristol.ac.uk.
这项研究揭示了深度强化学习 (RL) 与基于人类错误的学习有所不同. 一个新的算法,基于模型的确定性政策梯度 (MB-DPG),弥合了这一差距,提高了学习速度和稳定性.
09:34A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
Published on: September 25, 2021
08:05Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
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