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08/07/2023
AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning
StarCraft II is one of the most challenging simulated reinforcement lear...
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06/20/2023
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
The ability to leverage heterogeneous robotic experience from different ...
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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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06/28/2021
Robust Learning-Augmented Caching: An Experimental Study
Effective caching is crucial for the performance of modern-day computing...
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03/17/2021
Regularized Behavior Value Estimation
Offline reinforcement learning restricts the learning process to rely on...
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12/12/2020
Semi-supervised reward learning for offline reinforcement learning
In offline reinforcement learning (RL) agents are trained using a logged...
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11/27/2020
Offline Learning from Demonstrations and Unlabeled Experience
Behavior cloning (BC) is often practical for robot learning because it a...
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07/17/2020
Hyperparameter Selection for Offline Reinforcement Learning
Offline reinforcement learning (RL purely from logged data) is an import...
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06/26/2020
Critic Regularized Regression
Offline reinforcement learning (RL), also known as batch RL, offers the ...
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06/24/2020
RL Unplugged: Benchmarks for Offline Reinforcement Learning
Offline methods for reinforcement learning have the potential to help br...
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02/02/2020
Combating False Negatives in Adversarial Imitation Learning
In adversarial imitation learning, a discriminator is trained to differe...
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10/02/2019
Task-Relevant Adversarial Imitation Learning
We show that a critical problem in adversarial imitation from high-dimen...
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09/26/2019
A Framework for Data-Driven Robotics
We present a framework for data-driven robotics that makes use of a larg...
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06/12/2019
The Dynamics of Handwriting Improves the Automated Diagnosis of Dysgraphia
Handwriting disorder (termed dysgraphia) is a far from a singular proble...
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04/06/2019
Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift
Recent work has shown that using unlabeled data in semi-supervised learn...
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04/06/2019
Reinforced Imitation in Heterogeneous Action Space
Imitation learning is an effective alternative approach to learn a polic...
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12/11/2018
Adversarial Framing for Image and Video Classification
Neural networks are prone to adversarial attacks. In general, such attac...
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06/12/2018
Focused Hierarchical RNNs for Conditional Sequence Processing
Recurrent Neural Networks (RNNs) with attention mechanisms have obtained...
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05/21/2018
Classifier-agnostic saliency map extraction
We argue for the importance of decoupling saliency map extraction from a...
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10/31/2017
Fraternal Dropout
Recurrent neural networks (RNNs) are important class of architectures am...
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12/05/2016