Phillip Swazinna (Preferred)
Phillip Swazinna
- Joined May 2022
Names
Emails
****@in.tum.de (Confirmed)
, ****@siemens.com (Confirmed)
Personal Links
Career & Education History
PhD student
Department of Informatics, Technische Universität München (in.tum.de)
2019 – 2023
PhD student
Siemens Corporate Research (siemens.com)
2019 – 2023
MS student
Department of Informatics, Technische Universität München (in.tum.de)
2016 – 2018
Undergrad student
Technische Universität Dortmund (tu-dortmund.de)
2013 – 2016
Advisors, Relations & Conflicts
Expertise
Offline Reinforcement Learning
Present
Reinforcement Learning
Present
Medical Machine Learning
Present
World Models
Present