Results 271 to 280 of about 241,763 (280)
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2010
In some stochastic environments the well-known reinforcement learning algorithm Q-learning performs very poorly. This poor performance is caused by large overestimations of action values. These overestimations result from a positive bias that is introduced because Q-learning uses the maximum action value as an approximation for the maximum expected ...
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In some stochastic environments the well-known reinforcement learning algorithm Q-learning performs very poorly. This poor performance is caused by large overestimations of action values. These overestimations result from a positive bias that is introduced because Q-learning uses the maximum action value as an approximation for the maximum expected ...
openaire +1 more source
Machine learning and the physical sciences
Reviews of Modern Physics, 2019Giuseppe Carleo +2 more
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Setting the standards for machine learning in biology
Nature Reviews Molecular Cell Biology, 2019David Tudor Jones
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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Cell, 2018Michael Goldbaum +2 more
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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
IEEE Communications Surveys and Tutorials, 2019Nguyen Cong Luong +2 more
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How machine learning can help us understand what we have grown in the dish
Nature Reviews Molecular Cell BiologyRoser Vento-Tormo
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