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07/07/2023
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks
The existing internet-scale image and video datasets cover a wide range ...
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04/03/2023
Chain-of-Thought Predictive Control
We study generalizable policy learning from demonstrations for complex l...
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02/10/2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Reinforcement learning has seen wide success in finetuning large languag...
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11/23/2022
Masked Autoencoding for Scalable and Generalizable Decision Making
We are interested in learning scalable agents for reinforcement learning...
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09/15/2022
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator
Video prediction is an important yet challenging problem; burdened with ...
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06/28/2022
Masked World Models for Visual Control
Visual model-based reinforcement learning (RL) has the potential to enab...
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10/26/2021
Towards More Generalizable One-shot Visual Imitation Learning
A general-purpose robot should be able to master a wide range of tasks a...
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03/19/2020
SAPIEN: A SimulAted Part-based Interactive ENvironment
Building home assistant robots has long been a pursuit for vision and ro...
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11/21/2019
State Alignment-based Imitation Learning
Consider an imitation learning problem that the imitator and the expert ...
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08/15/2019
Mapping State Space using Landmarks for Universal Goal Reaching
An agent that has well understood the environment should be able to appl...
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11/30/2018
Adversarial Defense by Stratified Convolutional Sparse Coding
We propose an adversarial defense method that achieves state-of-the-art ...
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05/12/2018
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling
Datasets drive vision progress and autonomous driving is a critical visi...
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12/20/2017