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05/31/2022
The CLRS Algorithmic Reasoning Benchmark
Learning representations of algorithms is an emerging area of machine le...
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05/12/2022
A Generalist Agent
Inspired by progress in large-scale language modeling, we apply a simila...
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11/19/2019
Attention Privileged Reinforcement Learning For Domain Transfer
Applying reinforcement learning (RL) to physical systems presents notabl...
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10/13/2019
Stabilizing Transformers for Reinforcement Learning
Owing to their ability to both effectively integrate information over lo...
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03/04/2019
The StreetLearn Environment and Dataset
Navigation is a rich and well-grounded problem domain that drives progre...
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12/18/2018
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Real world data, especially in the domain of robotics, is notoriously co...
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05/16/2018
Progress & Compress: A scalable framework for continual learning
We introduce a conceptually simple and scalable framework for continual ...
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04/18/2018
The Limits and Potentials of Deep Learning for Robotics
The application of deep learning in robotics leads to very specific prob...
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11/11/2016
