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From Reinforcement Learning to Deep Reinforcement Learning: An Overview
2018This article provides a brief overview of reinforcement learning, from its origins to current research trends, including deep reinforcement learning, with an emphasis on first principles.
Pierre Baldi +3 more
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Reinforcement and Deep Reinforcement Machine Learning
2017Data-driven learning is a very strong concept. This concept is chased and converted into wonderful applications. Whole stream of Data Engineering and Data Sciences emerged out of that. The data is collected from various sources. It is collected from big hospitals, data repositories, from cookies running in your machines, intelligent applications ...
openaire +2 more sources
Deep Eutectic Solvents: A Review of Fundamentals and Applications
Chemical Reviews, 2021Brian Chen, Yong Zhang, Jeffrey M Klein
exaly
Soft wearable devices for deep-tissue sensing
Nature Reviews Materials, 2022Muyang Lin, Hongjie Hu, Sai Zhou
exaly
Deep neural networks for the evaluation and design of photonic devices
Nature Reviews Materials, 2020Jiaqi Jiang +2 more
exaly
Epithelial ovarian cancer: Evolution of management in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2019Stephanie Lheureux +2 more
exaly
Radiotherapy combination opportunities leveraging immunity for the next oncology practice
Ca-A Cancer Journal for Clinicians, 2017Fernanda G Herrera +2 more
exaly
Staging Soft Tissue Sarcoma: Evolution and Change
Ca-A Cancer Journal for Clinicians, 2006Alexander J F Lazar
exaly

