Lukas Schäfer
lukaschaefer.bsky.social
Lukas Schäfer
@lukaschaefer.bsky.social
www.lukaschaefer.com

Researcher @msftresearch.bsky.social; working on autonomous agents in video games; PhD Univ of Edinburgh ; Ex Huawei Noah’s Ark Lab, Dematic; Young researcher HLF 2022
Fingers crossed it’ll actually live up to the hype accumulated over all these years 🙏
August 26, 2025 at 8:51 AM
Thanks for sharing, hadn’t seen this before and definitely plan to catch up!
August 26, 2025 at 8:49 AM
Love these curated and shareable feeds on here. Such a good feature to give more control to the users and community to make the experience what they want it to be rather than leaving it in the control of the platform!
June 29, 2025 at 10:25 AM
June 19, 2025 at 3:15 PM
We also updated and moved our code exercises which we had built for a summer school to the marl-book github page so they can be easily found at github.com/marl-book/ma...

Thanks @sacha2.bsky.social for the reminder on that! They had previously been hidden inside my GitHub account 😅
GitHub - marl-book/marl-book-exercises: Code exercises for the MARL Textbook
Code exercises for the MARL Textbook. Contribute to marl-book/marl-book-exercises development by creating an account on GitHub.
github.com
June 19, 2025 at 8:29 AM
Awesome to see the slides publicly available, wasn’t aware they are now!

And yes actually, the code exercises are here: github.com/LukasSchaefe...

Good point though, I wanted to migrate them to the book github project. I’ll have a stab at that later!
GitHub - LukasSchaefer/marl-book-exercises: Code exercises for the MARL Textbook
Code exercises for the MARL Textbook. Contribute to LukasSchaefer/marl-book-exercises development by creating an account on GitHub.
github.com
June 4, 2025 at 9:38 PM
Thanks, will check it out!
May 23, 2025 at 3:37 PM
That sounds exciting! Are there any recordings or slides available to check this out? 👀
May 23, 2025 at 3:14 PM
Thanks!

We wanted to have a game with more realistic visuals. We decided on CS:GO mainly since there already existed an open dataset to train on and compare results to prior methods that used the same dataset.

Also, we finished initial experiments actually on the same day as CS2 released 😅
May 21, 2025 at 12:06 PM
Thanks for the encouragement Marc — I’ll look out for you!
May 18, 2025 at 9:53 PM
Thank!
May 18, 2025 at 9:54 AM
Thanks to all the co-authors and collaborators!
Logan Jones, Anssi Kanervisto, Yuhan Cao, Tabish Rashid, Raluca Georgescu, David Bignell, Siddhartha Sen, Andrea Treviño Gavito, and first and foremost Sam Devlin

It's been an absolute joy working with this group of kind folks 👏
May 18, 2025 at 9:40 AM
Paper: arxiv.org/abs/2312.02312

It took some time but I'm super excited that now our code is also open-source and available for everyone to use at: github.com/microsoft/im...
GitHub - microsoft/imitation_learning_in_modern_video_games: Accompanying code for "Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games" publication
Accompanying code for "Visual Encoders for Data-Efficient Imitation Learning in Modern Video Games" publication - microsoft/imitation_learning_in_modern_video_games
github.com
May 18, 2025 at 9:40 AM
At the Adaptive and Learning Agents Workshop I'll be presenting our comprehensive study on the efficacy of different visual encoders for imitation learning in modern video games.

I'll be presenting the work as a short talk and poster at the ALA workshop on Monday!
May 18, 2025 at 9:40 AM
This has been a long time coming, thanks a lot for my collaborators for all their help! Oliver Slumbers, Stephen McAleer, Yali Du, Stefano V Albrecht, and David Mguni

It's actually going to be my first ever oral presentation, so excited (and nervous) about that 👀
May 18, 2025 at 9:40 AM
At the main conference, I'll be presenting our work on using ensembles of value functions for multi-agent exploration!

I'll be presenting the oral at the Multi-agent Learning 1 session on Wednesday (2:00 - 3:45pm), and the poster after 3:45pm!

Paper: arxiv.org/abs/2302.03439
May 18, 2025 at 9:40 AM