Quietly Hoping for a Safe AI Future
Google ScholarI am an engineer and researcher experienced in modern machine learning and artificial intelligence techniques. I was previously a student at UC Berkeley, where I completed my B.A. in Computer Science and Statistics and my M.S. in Computer Science. While at Berkeley, I was associated with the Berkeley Artificial Intelligence Research (BAIR) Lab and the Center for Human-Compatible AI (CHAI) and worked primarily on problems in AI Alignment. I’ve also done research on problems in computer vision, robot planning, and sports statistics.
On Lyapunov exponents and adversarial perturbation
In CVPR 2018 Workshop The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security
[Proceedings]
An Anytime Algorithm for Task and Motion MDPs
In ICAPS 2018 Workshop Planning and Robotics (PlanRob)
[Proceedings]
Uncertain Reward-Transition MDPs for Negotiable Reinforcement Learning (MS Thesis)
[EECS Technical Reports]
Do Steph Curry and Klay Thompson Have Hot Hands?
To appear in The Mathematical Intelligencer. Work featured in a Numberphile Youtube video!
[SSRN]