Reading
My reading list.
Reading now
- Paper
Mastering Diverse Domains through World Models
DreamerV3. I want a world model I can actually train a robot inside.
- Paper
Autonomous Drone Racing with Deep Reinforcement Learning
RL for racing through gates. Directly useful for Anduril and physical racing.
- Paper
Dream-RSI: Recursive Self-Improvement through Evolving Worlds
World models that keep improving by evolving the worlds they train in.
- Article
Gemini Robotics
Vision language action models for robots. Worth watching as the stack gets better.
Going to read
- Article
Countering misuse of AI: September 2026
How people misuse frontier models, and what Anthropic is seeing in the wild.
- Article
Introducing System One Models and Jev
Fast structured decisions instead of chat. A different shape of model.
- Paper
ORB-SLAM3
Visual inertial SLAM. Useful for GPS denied navigation.
- Paper
World Models
The paper behind the article I wrote. I want to go through it slowly.
- Book
Reinforcement Learning: An Introduction
Before I train a policy on Flappy Bird, I want the basics solid.
- Book
Small Unmanned Aircraft
Flight models, estimation, and guidance. The hardware side of what I fly.
- Paper
Explaining and Harnessing Adversarial Examples
I wrote about this. I still want another pass at the original paper.