Model-free episodic control

C Blundell, B Uria, A Pritzel, Y Li, A Ruderman… - arXiv preprint arXiv …, 2016 - arxiv.org
State of the art deep reinforcement learning algorithms take many millions of interactions to
attain human-level performance. Humans, on the other hand, can very quickly exploit highly …
被引用次数：274 相关文章
[PDF] ucl.ac.uk

[PDF][PDF] Model-Free Episodic Control

C Blundell, B Uria, A Pritzel, Y Li, A Ruderman… - stat, 2016 - gatsby.ucl.ac.uk
State of the art deep reinforcement learning algorithms take many millions of interactions to
attain human-level performance. Humans, on the other hand, can very quickly exploit highly …

Model-Free Episodic Control

C Blundell, B Uria, A Pritzel, Y Li, A Ruderman… - arXiv e …, 2016 - ui.adsabs.harvard.edu
State of the art deep reinforcement learning algorithms take many millions of interactions to
attain human-level performance. Humans, on the other hand, can very quickly exploit highly …
[PDF] ucl.ac.uk

[PDF][PDF] Model-Free Episodic Control

C Blundell, B Uria, A Pritzel, Y Li, A Ruderman… - stat, 2016 - gatsby.ucl.ac.uk
State of the art deep reinforcement learning algorithms take many millions of interactions to
attain human-level performance. Humans, on the other hand, can very quickly exploit highly …