Lukas Schäfer
Research Scientist in AI at Microsoft Research
Cambridge, England, United Kingdom
Summary
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SeniorLukas 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
Github Skills (21)
simulation10
robotics10
multi-agent-reinforcement-learning10
simulator10
multi-agent10
reinforcement-learning10
algorithms9
vectorization9
benchmarking9
physics-engine9
agent8
npm8
pytorch8
javascript7
yarnpkg7
Programming languages (6)
Github contributions (5)
uoe-agents/lb-foraging
Nov 2020 - Sep 2024
Level-Based Foraging (LBF): A multi-agent reinforcement learning environment
Contributions:3 PRs, 5 pushes, 2 branches in 3 years 10 months
multi-agent-reinforcement-learning
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
multi-agent
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