W. Cannon Lewis II
Rice CS PhD student
Generally speaking, I am interested in robotic autonomy.
My research incorporates aspects of control theory,
statistics, optimization, formal mathematics, and good old
computer science. Right now, my research is specifically in
the application of reinforcement learning to robotic
control and motion planning. Get in touch if you'd like to
You can reach me by email at wcannon<at>rice.edu or in my office at 3055 Duncan Hall.
- 9/20/19 - A paper that I wrote in undergrad was published as a Rice University technical report! You can access it here.
- 11/2/18 - I'm excited to finally be able to share that I'm hosting the Rice Computer Science Department podcast, Unconventional Computing. Our first episode is about election security! You can find it on ITunes and Google Play.
- 06/15/18 - Finally updated the website! Now using Jekyll and Bootstrap, and featuring up-to-date™ personal information.
- Lewis, W. Cannon II, Moll, Mark, and Kavraki, Lydia E. "How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning?." (2019) https://doi.org/10.25611/az5z-xt37
- In Progress
- My (award-winning) play reviews are partially archived at the Rice Thresher
- Graduate TAing
||Introduction to Computer Systems
- Undergraduate TAing
||Honors Multivariable Calculus III/IV
- Fall 2019
- Spring 2019
- Fall 2018
- Spring 2018
- Fall 2017