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Summary by Gavin Gray 8 months ago
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Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum and Shixiang Gu and Honglak Lee and Sergey Levine
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by Felipe Martins 1 month ago
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Summary by Friedrich-Maximilian Weberling 1 month ago
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Recurrent World Models Facilitate Policy Evolution
David Ha and Jürgen Schmidhuber
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Paul Barde 3 months ago
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Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
Daniel S. Brown and Wonjoon Goo and Scott Niekum
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Paul Barde 3 months ago
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Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Daniel S. Brown and Wonjoon Goo and Prabhat Nagarajan and Scott Niekum
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Paul Barde 3 months ago
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Summary by Paul Barde 3 months ago
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Reinforcement and Imitation Learning via Interactive No-Regret Learning
Stephane Ross and J. Andrew Bagnell
arXiv e-Print archive - 2014 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by Paul Barde 3 months ago
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A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stephane Ross and Geoffrey J. Gordon and J. Andrew Bagnell
arXiv e-Print archive - 2010 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by Paul Barde 3 months ago
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Understanding deep learning requires rethinking generalization
Chiyuan Zhang and Samy Bengio and Moritz Hardt and Benjamin Recht and Oriol Vinyals
arXiv e-Print archive - 2016 via Local arXiv
Keywords: cs.LG

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Summary by ANIRUDH NJ 4 months ago
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