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lars-quaedvlieg/README.md

💫 About Me:

I am a student in the MSc in Data Science at École Polytechnique Fédérale de Lausanne, where I do research in reinforcement learning and graph neural networks. Before starting my master’s, I obtained my BSc in Data Science and Artificial Intelligence at Maastricht University. During my bachelor’s, I worked on applied research in multi-camera multi-object tracking and multi-agent reinforcement learning as an AI research intern at Aucos AG.

My research focus lies in machine learning and artificial intelligence, with a focus on reinforcement learning. Further details about my research can be found on my website.

In my personal time, I very much enjoy skiing, hiking, and field hockey.

🌐 Socials:

LinkedIn

💻 Tech Stack:

Python Java C# LaTeX UNITY Anaconda C CSS3 HTML5 JavaScript Markdown PHP Octave R OpenCV MySQL Postgres Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow LINUX Arduino Gradle Notion Raspberry Pi Trello Docker

📊 GitHub Stats:



Pinned

  1. Reinforcement-Learning-Book Reinforcement-Learning-Book Public

    I have created a small book summarizing concepts from the Reinforcement Learning part of the ATML 2015 course at UCL (https://www.davidsilver.uk/teaching/)

    TeX 38 3

  2. Project-2.1-Risk Project-2.1-Risk Public

    Java 1

  3. lars-quaedvlieg.github.io lars-quaedvlieg.github.io Public

    JavaScript 3

  4. Predator-Prey-Unity-MLAgents Predator-Prey-Unity-MLAgents Public

    Jupyter Notebook 4