Daniel Seita

I am a computer science PhD student at the University of California, Berkeley. I am interested in machine learning and artificial intelligence, with a focus on deep reinforcement learning and deep imitation learning for robotics. My advisor is John Canny. I also frequently collaborate with the folks in the AUTOLAB. I am grateful to be supported by a National Physical Science Consortium fellowship (from 2015 to 2021), funded through the National Security Agency.

You can reach me at seita@cs.berkeley.edu. I also frequently blog about technical and non-technical topics, and write code and notes on GitHub.

News and Updates

Preprints and Publications

For all these papers, you can find the latest versions on arXiv.

Older Work

The following represents some of my older work and is not necessarily representative of my current research interests.

Coursework and Teaching Assistantships

I've taken a number of graduate courses as part of the PhD program at UC Berkeley. I also write reviews, which might be helpful for those thinking about taking future iterations of these classes. I was also the GSI (i.e., Teaching Assistant) for the Deep Learning class in Fall 2016. UC Berkeley also has an oral preliminary exam requirement for PhD students. Here's the transcript of my prelims.


© Daniel Seita. Last updated: January 2018.