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Learning and Control

Machine learning for robots and robots for machine learning

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Sporks of AGI

Why the Real Thing is better than the Next Best Thing

Language Models in Plato's Cave

Why language models succeeded where video models failed, and what that teaches us about AI

The Promise of Generalist Robotic Policies

How to bootstrap self-improving robots

Offline RL and Large Language Models

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

General-Purpose Pre-Trained Models in Robotics

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

Self-Improving Robots and the Importance of Data

How can robots help us figure out machine learning?

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”…

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…

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…

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?