Technical

How Maximum Entropy makes Reinforcement Learning Robust

Does information theory have a role to play in reinforcement learning? Find out how adding entropy to the reinforcement learning formulation can help robots deal with unexpected obstacles and more.

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AI Art

Alien Dreams: An Emerging Art Scene

In January 2021, OpenAI released the weights and code for their CLIP model, and since then various hackers, artists, researchers, and deep learning enthusiasts have figured out novel methods for combining CLIP with various generative models to create beautiful visual art from just a text prompt. In this blog post I document the evolution of this new art scene and share a bunch of cool artwork along the way.

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Technical

A Case for Robot Learning

What makes programming robots difficult? We’ll look at the promising idea of end-to-end learning and why it is (or maybe isn’t) the future of robotics.

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Technical

Imitation Learning: How well does it perform?

With the growing adoption of Imitation Learning (IL), this blog posts goes back and takes a second look at this field, but this time with more mathematical rigor. Specifically, we share a recent paper that provides a taxonomic framework and theoretical performance bounds for IL algos, then dive into into the craft of proving such bounds.

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