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Improving Sample Efficiency forGradient-based Policy Optimisation;…
https://www.mlmi.eng.cam.ac.uk/files/wang_dissertation.pdf30 Oct 2019: Inspired by this kind ofbehaviorist psychology, the field of Reinforcement Learning (RL) emerges as a frameworkfor solving sequential decision-making problems through interaction with the environment.[Sutton and Barto, 1998] provides -
Curiosity-Driven Reinforcement Learning for Dialogue Management
https://www.mlmi.eng.cam.ac.uk/files/paulawesselmann_mlsalt.pdf6 Nov 2019: 2.3.1 Optimal Challenge. Psychology suggests that curiosity or interest is only "engaged by what is just beyond currentknowledge, neither too well known nor too far beyond what is understandable" -
Combining Diverse Neural Network Language Models for Speech…
https://www.mlmi.eng.cam.ac.uk/files/xianrui_zheng.pdf18 Nov 2019: Modern technologies for analysingspeech require knowledge from fields including but not limited to linguistics, engineeringand psychology. -
Compression without Quantization Gergely Flamich Department of…
https://www.mlmi.eng.cam.ac.uk/files/compression_without_quantization_flamich_reduced.pdf18 Nov 2019: from several otherdisciplines, such as mathematics, neuroscience, psychology and photography. -
BachBot: Automatic composition in thestyle of Bach chorales…
https://www.mlmi.eng.cam.ac.uk/files/feynman_liang_8224771_assignsubmission_file_liangfeynmanthesis.pdf30 Oct 2019: BachBot: Automatic composition in thestyle of Bach chorales. Developing, analyzing, and evaluating a deep LSTM modelfor musical style. Feynman Liang. Department of EngineeringUniversity of Cambridge. M.Phil in Machine Learning, Speech, and Language
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