92 citations · 92 across the 1 of their papers we have counts for
2 papers
cs.LG2017★ 92 cited
Neural Episodic Control
Alexander Pritzel, Benigno Uria, Sriram Srinivasan +5
Deep reinforcement learning methods attain super-human performance in a wide range of environments. Such methods are grossly inefficient, often taking orders of magnitudes more dat…
stat.ML2016
Model-Free Episodic Control
Charles Blundell, Benigno Uria, Alexander Pritzel +6
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 hi…