(robot = continual+generative+reinforcement) * learning

Alan Chen

I teach robots to build things.

Undergrad researcher at UT Austin (Turing Scholars), working on RL for vision-language-action models at the Learning Agents Research Group. Previously at CMU's Robotics Institute, where I published on robotic assembly before finishing high school.

scholar ↗ github ↗ x ↗ linkedin ↗ email ↗

currently

Learning Agents Research Group · UT Austin

RL for vision-language-action models

Fine-tuning robot foundation models (Octo, OpenVLA) with PPO, GRPO, and Diffusion-PPO for mobile manipulation in ManiSkill.

Arm · Central Engineering AI · Summer 2026

LLM Research Engineering Intern

Just wrapped up: independently developed a recursive language model approach and analyzed complex workloads to optimize uArch.

selected research

Robots that build things

Deep RL for robots that plan and build in the physical world: assembly planning, learning from demonstration, and policies that respect physics.

Planned sequences executed on the lab arms — vessel, guitar, faucet, branched stairs (16× speed)

RA-L · IROS 2025

Physics-Aware Combinatorial Assembly Sequence Planning using Data-free Action Masking

In what order should a robot place Lego-like primitives so the build never collapses halfway? We train a deep-RL construction policy guided by an online, data-free action mask that filters physically invalid moves before they happen.

All research →

writing

Notes & writeups

Rebuilding this site (and how writing works here now)

This site is a pile of Markdown files now. The old version was a React app, and adding anything meant editing components. By the time I finished fiddling with JSX, I didn’t feel like writing anymor…

site

Move 37, Move 78

My new revamped website’s homepage animation replays the opening of Game 4 of Lee Sedol vs. AlphaGo and stops at Move 78 which is arguably one of the most famous moves played by a human, a wedge th…

gorl

Probability, likelihood, and measure

Why probability and likelihood are different objects, what MLE is actually doing, and the measure-theory vocabulary that makes densities, PMFs, and Dirac deltas one thing.

math

All writing →

Say hi

Always happy to talk robots, RL, Go, or whatever.