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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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10/20/2021
Shaking the foundations: delusions in sequence models for interaction and control
The recent phenomenal success of language models has reinvigorated machi...
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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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06/26/2020
Critic Regularized Regression
Offline reinforcement learning (RL), also known as batch RL, offers the ...
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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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05/30/2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning
We propose a novel reinforcement learning algorithm, AlphaNPI, that inco...
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10/11/2018
One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL
Humans are experts at high-fidelity imitation -- closely mimicking a dem...
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09/27/2018
Sample Efficient Adaptive Text-to-Speech
We present a meta-learning approach for adaptive text-to-speech (TTS) wi...
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08/01/2018
Neural Arithmetic Logic Units
Neural networks can learn to represent and manipulate numerical informat...
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12/29/2017
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
We introduce ScanComplete, a novel data-driven approach for taking an in...
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10/27/2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Deep autoregressive models have shown state-of-the-art performance in de...
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03/10/2017
Parallel Multiscale Autoregressive Density Estimation
PixelCNN achieves state-of-the-art results in density estimation for nat...
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10/08/2016
Learning What and Where to Draw
Generative Adversarial Networks (GANs) have recently demonstrated the ca...
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05/17/2016
Generative Adversarial Text to Image Synthesis
Automatic synthesis of realistic images from text would be interesting a...
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01/05/2016
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
An important problem for both graphics and vision is to synthesize novel...
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12/08/2015
SSD: Single Shot MultiBox Detector
We present a method for detecting objects in images using a single deep ...
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11/19/2015
Neural Programmer-Interpreters
We propose the neural programmer-interpreter (NPI): a recurrent and comp...
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12/20/2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Current state-of-the-art deep learning systems for visual object recogni...
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12/03/2014
Scalable, High-Quality Object Detection
Current high-quality object detection approaches use the scheme of salie...
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09/30/2014
Evaluation of Output Embeddings for Fine-Grained Image Classification
Image classification has advanced significantly in recent years with the...
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09/17/2014
