About Me Blog
Lukas Schneider

Lukas Schneider

Experience & Education

2023-2025
Co-founder and CTO of Aedilic.
2023
Research Intern at the German Aerospace Center (DLR), working on model-based trajectory planning and reinforcement learning for autonomous quadcopter control with sim-to-real transfer.
2021-2023
M.Sc. Robotics, Systems and Control, ETH Zurich. Master's thesis conducted at the Robotic Systems Lab, focusing on training and deploying deep learning models on the ANYmal robot. Research supervised by Jonas Frey and Takahiro Miki, with a focus on risk-sensitive distributional RL for legged locomotion.
2018-2021
B.Sc. Computer Science, TU Darmstadt. Bachelor's thesis on Distributional RL in Monte-Carlo Tree Search, supervised by Carlo D'Eramo and Tuan Dam.
Working student at secunet Security Networks AG, developing internal tooling.
2017
2-week internship at secunet Security Networks AG.
2-week internship at Media Secure GmbH, where I build internal tooling to analyze VoIP systems for vulnerabilities.

Pet Projects

react-sounds  -- react library with ai-generated sound effects.
nanograd  -- minimal auto-differentiation engine in Rust.
aithena  -- chess move generator and AlphaZero implementation.
nonescape  -- open-source detection model for AI-generated images.
LMP  -- simulator for a hardvard architecture microprocessor with custom instruction set.

Publications

(ICRA 2024) Learning Risk-Aware Quadrupedal Locomotion using Distributional RL

Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter

(ICML 2025) Monte-Carlo tree search with uncertainty propagation via optimal transport

Tuan Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D'Eramo, Odalric-Ambrym Maillard

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