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  • šŸ‘‹ Hi, Iā€™m Simon
  • šŸ‘€ Iā€™m interested in state of the art methods for societal benefit, meaning there should be a real-world application.
  • šŸŒ± Iā€™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.
  • šŸ’žļø Iā€™m collaboration and look to collaborate on industry applications, accelerator physics, medical research and fundamendal research in general.
  • šŸ“« How to reach me simon.hirlaender(@)plus.ac.at

Simon H.'s Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

fermi_rl_paper icon fermi_rl_paper

The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

model-based-rl icon model-based-rl

Model based reinforcement learning implemenation of ME-TRPO on a physical simulation od AWAKE

per-naf icon per-naf

An implementation of the Normalized Advantage Function Reinforcement Learning Algorithm with Prioritized Experience Replay

spinningup icon spinningup

An educational resource to help anyone learn deep reinforcement learning.

tensorlayer icon tensorlayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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