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 Alexander Jung 1 year ago
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Summary by Alexander Jung 1 year ago
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Summary by yenchenlin 1 year ago
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Summary by NIPS Conference Reviews 1 year ago
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Summary by NIPS Conference Reviews 1 year ago
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Summary by NIPS Conference Reviews 1 year ago
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Summary by NIPS Conference Reviews 1 year ago
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Summary by NIPS Conference Reviews 1 year ago
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Summary by NIPS Conference Reviews 1 year ago
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Summary by NIPS Conference Reviews 1 year ago
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Summary by Martin Thoma 1 year 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 1 year ago
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arxiv.org
arxiv-sanity.com
scholar.google.com
Reward Augmented Maximum Likelihood for Neural Structured Prediction
Mohammad Norouzi and Samy Bengio and Zhifeng Chen and Navdeep Jaitly and Mike Schuster and Yonghui Wu and Dale Schuurmans
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG

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Summary by Jon Gauthier 2 years ago
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