Cedrick Argueta

I am an undergrad at Stanford University, where I work on reinforcement learning and drones. I study computer science with a concentration in artificial intelligence, and I try to apply my knowledge to problems in the field of aerospace.

Right now, I'm working part-time at The Aerospace Corporation while finishing up my final year at Stanford University.

I've done internships at NASA JPL and The Aerospace Corporation. At JPL, I worked on an automated testing system for CubeSat avionics boards. At Aerospace, I worked on reinforcement learning for autonomous vehicles and anomaly detection for spacecraft batteries. I also worked on developing a scheduling algorithm for the power system of a satellite.

Email  /  GPG  /  CV  /  GitHub  /  LinkedIn


I'm interested in reinforcement learning, computer vision, and autonomous control. I currently do research in the Stanford Intelligent Systems Lab with Prof. Mykel Kochenderfer and Louis Dressel, a former PhD candidate now at Wing. We are trying to demonstrate the effectiveness of reinforcement learning in radio target localization.

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 source code and poster! Work done for 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 source code and poster! Work done for 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 MS&E 448.

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.

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 poster and source code! Work done for CS 221.

cats CubeSat Automated Testing System
Cedrick Argueta, David Henriquez

A portable, automated testbed for safe-to-mate testing on CubeSat avionics boards.


Course Assistant, CS110 Spring 2018
CA as a sophomore.

Awards, Honors, Accolades
  • Accepted to Department Honors program.

  • Featured in The Aerospace Corporation's end-of-year report for contributions to company's push for AI.

  • Personally invited by Mark Daigneault, coach of the Oklahoma City Blue, to aid in player development strategies for the OKC Blue and OKC Thunder

  • Presenter at EdSummit2017, an education conference hosted by Character Lab founder and UPenn Professor Angela Duckworth

  • Nominated as one of NASA JPL’s most promising interns, presented by Deputy Director Larry D. James

  • Personally invited by President Barack Obama to the White House Science Fair as a leader in education in 2016

  • One of twelve in the world to attain a perfect score on the AP Calculus AB exam in 2015


Sept. 2016 - Jun. 2020 (Expected), 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 December 2019