Cedrick Argueta

I've just graduated with an honors degree in Computer Science from Stanford. In fall, I'll be moving to Princeton to begin my Ph.D. in computer science.

Previously, I worked at The Aerospace Corporation and NASA JPL. I'm a big fan of space and hope that my work can be used in that domain someday.

Email  /  GPG  /  CV  /  GitHub  /  LinkedIn


I'm primarily interested in reinforcement learning and computer vision, especially robotics, safety, fairness, and interpretability. I did my honors thesis in the Stanford Intelligent Systems Lab with Prof. Mykel Kochenderfer and Louis Dressel, who is now at Wing.

honors Deep Reinforcement Learning for Drone-based Radio Localization
Cedrick Argueta

A short thesis on what I've learned while completing honors at Stanford.

febol Python Filter Exploration for Bearing Only Localization
Cedrick Argueta, Louis Dressel

A simulation package for the bearing-only localization problem, used in my reinforcement learning research.

Other Projects
warfarin Estimation of Warfarin Dosage with Reinforcement Learning
Cedrick Argueta, Nguyet Minh Phu, Emanuel Pinilla

A contextual bandit problem of prescribing warfarin to patients, solved using LinUCB and online supervised learning. Check out our report! Work done for Stanford CS 234.

peterdejong Strange Attractors
Cedrick Argueta

Visualizations of various strange attractors, created using Python. Check out the source code!

td3-drone Continuous Control in Bearing-Only Localization
Cedrick Argueta

An agent that uses twin delayed DDPG for continuous control in bearing-only localization. Check out my report! Work done for Stanford CS 229.

draw2pix draw2pix
Cedrick Argueta, Kevin Wang

An extension of CycleGAN and pix2pix, where we use generative networks to turn drawings of trees into photorealistic versions of those drawings. Check out our report! Work done for Stanford CS 231n.

statarb High Frequency Statistical Arbitrage
Tyler Coleman, Cedrick Argueta, Vidushi Singhi, Luisa Bouneder, Dottie Jones

A project using HFT techniques and statistical arbitrage on stocks in the NASDAQ-100 index. Work done for Stanford MS&E 448.

flappy Deep Reinforcement Learning and Transfer Learning with FlappyBird
Cedrick Argueta, Austin Chow, Cristian Lomeli

A simple agent that plays FlappyBird, created with Keras-rl and OpenAI Gym. Check out our report! Work done for Stanford CS 221.

cats CubeSat Automated Testing System
Cedrick Argueta, David Henriquez

A portable, automated testbed for safe-to-mate testing on CubeSat avionics boards. Work done at NASA JPL.


Starting Aug. 2020, Department of Computer Science, Princeton University

Ph.D. in Computer Science


Sept. 2016 - Jun. 2020, Department of Computer Science, Stanford University

B.S. w/ Honors in Computer Science
Study abroad in Madrid, Spain.


Sept. 2012 - Jun. 2016, Science, Technology, and Mathematics Magnet, Abraham Lincoln High School

High School Diploma

   Updated June 2020