Lukas Schäfer
Researcher at Microsoft
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLukas Schäfer is an AI researcher based in Cambridge with a decade of experience applying reinforcement learning and multi-agent techniques to real-world decision-making problems. Currently on Microsoft’s Game Intelligence team, he develops autonomous agents aimed at enabling novel gameplay experiences and tools, building on prior research internships at Microsoft and Huawei and applied work in warehouse automation and Hyperloop navigation. He completed an MSc and is pursuing a PhD in Data Science & AI at the University of Edinburgh, where he also taught and mentored students in reinforcement learning. Comfortable bridging theory and engineering, Lukas has hands-on experience with control systems, Kalman filters, and large-scale RL, and brings a knack for turning academic ideas into practical systems for interactive environments.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Data Science & Artificial Intelligence, Doctor of Philosophy - PhD Data Science & Artificial Intelligence at The University of EdinburghAllgemeine Hochschulreife (Abitur), Allgemeine Hochschulreife (Abitur) at Warndtgymnasium GeislauternBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Universität des Saarlandes
English, German, French
Github Skills (42)
simulation10
robotics10
multi-agent-reinforcement-learning10
simulator10
mahjong10
agent-based-modeling10
multi-agent10
reinforcement-learning10
robot10
multiagent-systems10
pybullet10
scenarios9
iteration9
reinforcement-learning-environments9
vectorization9
Programming languages (4)
Github contributions (5)
semitable/lb-foraging
Nov 2020 - Jun 2022
Level-based Foraging (LBF): A multi-agent environment for RL
Contributions:7 commits, 7 PRs, 5 pushes in 1 year 7 months
multiagent-reinforcement-learningagentreinforcement-learningmultiagent-systemsreinforcement-learning-environments
LukasSchaefer/PettingZoo
May 2022 - Apr 2024
Gym for multi-agent reinforcement learning
Contributions:18 reviews, 7 PRs, 22 pushes in 2 years
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