693 citations · 894 across the 5 of their papers we have counts for
5 papers
PSI Draft Specification
Mark Reid, James Montgomery, Barry Drake +1
This document presents the draft specification for delivering machine learning services over HTTP, developed as part of the Protocols and Structures for Inference project, which co…
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning +15
Recent progress in artificial intelligence through reinforcement learning (RL) has shown great success on increasingly complex single-agent environments and two-player turn-based g…
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs
Avraham Ruderman, Neil C. Rabinowitz, Ari S. Morcos +1
Many of our core assumptions about how neural networks operate remain empirically untested. One common assumption is that convolutional neural networks need to be stable to small t…
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…
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures
Avraham Ruderman, Mark Reid, Dario Garcia-Garcia +1
We show that the variational representations for f-divergences currently used in the literature can be tightened. This has implications to a number of methods recently proposed bas…