Archive - Learning and Control

Offline RL and Large Language Models

What if the most significant capabilities of large language models have yet to be unlocked?

Dec 4, 2022 •

October 2022

General-Purpose Pre-Trained Models in Robotics

Can we (pre-) train policies to control any robot for any task?

Oct 16, 2022 •

August 2022

Self-Improving Robots and the Importance of Data

How can robots help us figure out machine learning?

Aug 22, 2022 •

December 2021

An Ecological Perspective on Reinforcement Learning

It has nothing to do with rainforests, at least not necessarily. J. J. Gibson’s seminal work “The Ecological Approach to Visual Perception”…

Dec 15, 2021 •

October 2021

Understanding the World Through Action: RL as a Foundation for Scalable Self-Supervised Learning

Machine learning systems have mastered a breadth of challenging problems in domains ranging from computer vision to speech recognition and…

Oct 26, 2021 •

April 2021

How Robots Can Learn End-to-End From Data

The year is 2030, and you’ve purchased a brand-new general-purpose home robot. The robot comes equipped with a few skills that it knows how…

Apr 29, 2021 •

September 2020

Decisions from Data: How Offline Reinforcement Learning Will Change How We Use ML

Offline RL will change how we make decisions with data. How do offline RL methods work, and what are some open challenges in this field?

Sep 15, 2020 •

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