activity
20162026
most citedDeepMind Control Suite

521 citations · 1.2k across the 41 of their papers we have counts for

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Showing 2019 · cs.LGShow all

5 papers · 2 filters

cs.LG2019★ 4 cited

Quinoa: a Q-function You Infer Normalized Over Actions

Jonas Degrave, Abbas Abdolmaleki, Jost Tobias Springenberg +2

We present an algorithm for learning an approximate action-value soft Q-function in the relative entropy regularised reinforcement learning setting, for which an optimal improved p…

cs.LG2019★ 6 cited

Augmenting learning using symmetry in a biologically-inspired domain

Shruti Mishra, Abbas Abdolmaleki, Arthur Guez +2

Invariances to translation, rotation and other spatial transformations are a hallmark of the laws of motion, and have widespread use in the natural sciences to reduce the dimension…

cs.LG2019

Compositional Transfer in Hierarchical Reinforcement Learning

Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner +7

The successful application of general reinforcement learning algorithms to real-world robotics applications is often limited by their high data requirements. We introduce Regulariz…

cs.LG2019★ 41 cited

Robust Reinforcement Learning for Continuous Control with Model Misspecification

Daniel J. Mankowitz, Nir Levine, Rae Jeong +7

We provide a framework for incorporating robustness -- to perturbations in the transition dynamics which we refer to as model misspecification -- into continuous control Reinforcem…

cs.LG2019★ 6 cited

Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup

Devin Schwab, Tobias Springenberg, Murilo F. Martins +7

We present a method for fast training of vision based control policies on real robots. The key idea behind our method is to perform multi-task Reinforcement Learning with auxiliary…