NIPS is a single-track machine learning and computational neuroscience conference that includes invited talks, demonstrations and oral and poster presentations of refereed papers.

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Summary by Brady Neal 2 years ago
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Summary by Alexander Jung 2 years ago
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Summary by Alexander Jung 2 years ago
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Summary by Alexander Jung 2 years ago
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Summary by yenchenlin 2 years ago
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Summary by yenchenlin 2 years ago
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Summary by NIPS Conference Reviews 3 years ago
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Summary by NIPS Conference Reviews 3 years ago
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Summary by NIPS Conference Reviews 3 years ago
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Summary by NIPS Conference Reviews 3 years ago
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Summary by NIPS Conference Reviews 3 years ago
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Summary by NIPS Conference Reviews 3 years ago
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Summary by NIPS Conference Reviews 3 years ago
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Summary by NIPS Conference Reviews 3 years ago
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Summary by Martin Thoma 3 years ago
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arxiv.org
scholar.google.com
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang and Rein Houthooft and Davis Foote and Adam Stooke and Xi Chen and Yan Duan and John Schulman and Filip De Turck and Pieter Abbeel
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.AI, cs.LG

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Summary by Denny Britz 3 years ago
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arxiv.org
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DeepMath - Deep Sequence Models for Premise Selection
Alex A. Alemi and Francois Chollet and Geoffrey Irving and Christian Szegedy and Josef Urban
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.AI, cs.LG, cs.LO

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Summary by Shagun Sodhani 3 years ago
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