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09/18/2023
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions
In this work, we present a scalable reinforcement learning method for tr...
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07/28/2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
We study how vision-language models trained on Internet-scale data can b...
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06/20/2023
SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
Pre-training robot policies with a rich set of skills can substantially ...
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12/13/2022
RT-1: Robotics Transformer for Real-World Control at Scale
By transferring knowledge from large, diverse, task-agnostic datasets, m...
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12/09/2022
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
Large-scale data is an essential component of machine learning as demons...
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04/25/2022
Skill-based Meta-Reinforcement Learning
While deep reinforcement learning methods have shown impressive results ...
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04/25/2022
Task-Induced Representation Learning
In this work, we evaluate the effectiveness of representation learning a...
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07/21/2021
Demonstration-Guided Reinforcement Learning with Learned Skills
Demonstration-guided reinforcement learning (RL) is a promising approach...
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10/22/2020
Accelerating Reinforcement Learning with Learned Skill Priors
Intelligent agents rely heavily on prior experience when learning a new ...
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10/22/2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments
Deep reinforcement learning (RL) agents are able to learn contact-rich m...
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06/23/2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
The ability to predict and plan into the future is fundamental for agent...
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04/11/2019
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction
Real-world image sequences can often be naturally decomposed into a smal...
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06/25/2018
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction
Recently, much progress has been made building systems that can capture ...
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12/05/2017