activity
20142024
most citedLearning to reinforcement learn

380 citations · 850 across the 9 of their papers we have counts for

collaborators

5 papers

cs.AI201639 cited

DeepMind Lab

Charles Beattie, Joel Z. Leibo, Denis Teplyashin +18

DeepMind Lab is a first-person 3D game platform designed for research and development of general artificial intelligence and machine learning systems. DeepMind Lab can be used to s…

cs.LG2016271 cited

Reinforcement Learning with Unsupervised Auxiliary Tasks

Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki +4

Deep reinforcement learning agents have achieved state-of-the-art results by directly maximising cumulative reward. However, environments contain a much wider variety of possible t…

cs.LG2016380 cited

Learning to reinforcement learn

Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala +6

In recent years deep reinforcement learning (RL) systems have attained superhuman performance in a number of challenging task domains. However, a major limitation of such applicati…

stat.ML2016154 cited

Using Fast Weights to Attend to the Recent Past

Jimmy Ba, Geoffrey Hinton, Volodymyr Mnih +2

Until recently, research on artificial neural networks was largely restricted to systems with only two types of variable: Neural activities that represent the current or recent inp…

cs.CV20144 cited

Unsupervised learning of clutter-resistant visual representations from natural videos

Qianli Liao, Joel Z. Leibo, Tomaso Poggio

Populations of neurons in inferotemporal cortex (IT) maintain an explicit code for object identity that also tolerates transformations of object appearance e.g., position, scale, v…