Simon Hirlaender MathPhysSim

🎯

Focusing

Achievements

👋 Hi, I’m Simon
👀 I’m interested in state of the art methods for societal benefit, meaning there should be a real-world application.
🌱 I’m currently applying and learning many aspects of science as stochastic series, deep reinforcement learning and many more...leading a reinforcement learning team at the University in Salzburg. Before I spend several years at CERN.
💞️ I’m collaboration and look to collaborate on industry applications, accelerator physics, medical research and fundamendal research in general.
📫 How to reach me simon.hirlaender(@)plus.ac.at

SARL-PLUS/RL_bootcamp_tutorialSARL-PLUS/RL_bootcamp_tutorialPublic
Python 5 3
PER-NAFPER-NAFPublic
An implementation of the Normalized Advantage Function Reinforcement Learning Algorithm with Prioritized Experience Replay
Python 8 4
FERMI_RL_PaperFERMI_RL_PaperPublic
The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.
Python 6 2