Beuth University

Benjamin Winter

Benjamin Winter is a recent addition to the DATEXIS group at Beuth University of Applied Sciences Berlin working as a research assistant. He recently graduated with distinction in the master of media informatics at Beuth University. His masters thesis “Applying Reinforcement Learning to small scale combat scenarios in the strategy game StarCraft” (https://github.com/BenjaminWinter/SC2-RL | https://github.com/BenjaminWinter/SC2-RL/blob/master/paper/thesis/masterthesis.pdf) was one of the first examples of Reinforcement Learning algorithms being able to beat expert human players at real, competitive SC2 scenarios. An article based on this thesis was published on the Beuth Research Day 2018(http://www.beuth-hochschule.de/researchday/).

 

Research Interests

– Reinforcement Learning

– Genetic Algorithms / Neuroevolution

– Goal-Oriented Chatbots

– Chatbot Self-Play

– Autonomous Driving