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A Framework for Efficient Robotic Manipulation
Data-efficient learning of manipulation policies from visual observation...
12/14/2020 ∙ by Albert Zhan, et al. ∙
8
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Parallel Training of Deep Networks with Local Updates
Deep learning models trained on large data sets have been widely success...
12/07/2020 ∙ by Michael (Misha) Laskin, et al. ∙
8
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Decoupling Representation Learning from Reinforcement Learning
In an effort to overcome limitations of reward-driven feature learning i...
09/14/2020 ∙ by Adam Stooke, et al. ∙
22
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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Model-free deep reinforcement learning (RL) has been successful in a ran...
07/09/2020 ∙ by Kimin Lee, et al. ∙
66
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Reinforcement Learning with Augmented Data
Learning from visual observations is a fundamental yet challenging probl...
04/30/2020 ∙ by Michael (Misha) Laskin, et al. ∙
14
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CURL: Contrastive Unsupervised Representations for Reinforcement Learning
We present CURL: Contrastive Unsupervised Representations for Reinforcem...
04/08/2020 ∙ by Aravind Srinivas, et al. ∙
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Sparse Graphical Memory for Robust Planning
To operate effectively in the real world, artificial agents must act fro...
03/13/2020 ∙ by Michael (Misha) Laskin, et al. ∙
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Roof Age Determination for the Automated Site-Selection of Rooftop Solar
Rooftop solar is one of the most promising tools for drawing down greenh...
01/08/2020 ∙ by Chris Heinrich, et al. ∙
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