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DeepMind Builds Neural Networks that Simulate Imagination

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What's New in Deep Learning Research: Building AI Agents with Imagination

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Click to view metadata for 1707.06203

[Submitted on 19 Jul 2017 (v1), last revised 14 Feb 2018 (this version, v2)]

Title:Imagination-Augmented Agents for Deep Reinforcement Learning

Authors:Théophane Weber, Sébastien Racanière, David P. Reichert, Lars Buesing, Arthur Guez, Danilo Jimenez Rezende, Adria Puigdomènech Badia, Oriol Vinyals, Nicolas Heess, Yujia Li
, Razvan Pascanu, Peter Battaglia, Demis Hassabis, David Silver, Daan Wierstra
et al. (5 additional authors not shown)  You must enable JavaScript to view entire author list.
Abstract:
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
Cite as: arXiv:1707.06203 [cs.LG]
  (or arXiv:1707.06203v2 [cs.LG] for this version)
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