
Lukas Schäfer
@LukasSchaefer96
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Researcher @MSFTResearch working on autonomous agents in video games; PhD @InfAtEd; Ex @Huawei Noah’s Ark Lab, Dematic; Young researcher @HLForum 2022;
Cambridge, UK
Joined June 2015
📚🧵1/7 It is finally here!! Only one more week until the print release of our textbook “Multi-Agent Reinforcement Learning: Foundations and Modern Approaches” with @mitpress!. What you get, why you should be interested and more, all below in a short 🧵👇
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RT @s_albrecht: The Multi-Agent RL book has completely sold out! 😀 Reprints are now in production by @mitpress. We have updated the book w….
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RT @trevormcinroe: I'm excited to chat at #RLDM2025 about our (with @SamuelGarcin) recent project: PixelBrax, where we combine the Brax phy….
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Today, I’ll be presenting our work on exploration in MARL using ensembles here! 👇. Multiagent Learning Session.Where: Ambassador Ballroom 1 & 2.When: 14:00 - 14:13. I’ll also present the poster later at the Learn track of the poster session at 15:45 - 16:30.
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:
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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 @smdvln . It's been an absolute joy working with this group of kind folks 👏.
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This has been a long time coming, thanks a lot for my collaborators for all their help!.Olivers Slumbers, @McaleerStephen, @yalidux, Stefano Albrecht, and David Mguni. It's actually going to be my first ever oral presentation, so excited (and nervous) about that 👀.
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On my way to Detroit for @AAMASconf! Looking forward to presenting the last work from my PhD at the main conference, and work from @MSFTResearch at the Adaptive and Learning Agents Workshop. More info👇. If you'd like to chat, feel free to DM me!.
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RT @SamuelGarcin: Looking forward to presenting our study on representation learning for on-policy actor-critic algorithms in Singapore for….
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RT @MSFTResearch: We are making available an experimental and interactive real-time gameplay experience in Copilot Labs, powered by our Mus….
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RT @katjahofmann: What happens when we train generative AI models to predict everything that happens in a modern video game? In my TED AI t….
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RT @katjahofmann: My colleague Martin recorded an awesome tutorial video of the WHAM Demonstrator - a tool that allows you to explore the c….
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RT @katjahofmann: Today in Nature: our research on world and human action models (WHAM) - generative ai models of video games, aimed toward….
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RT @satyanadella: If you thought AI-generated text, images, and video were cool, just imagine entire interactive environments like games! h….
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Awesome to see this released and out in the world now. Huge congrats to the entire team!. It was super cool to see the vision come to life as an intern with everything coming together 👏.
Nature published Microsoft research detailing our WHAM, an AI model that generates video game visuals & controller actions. We're releasing the model weights, sample data & WHAM Demonstrator on Azure AI Foundry to enable researchers to build on this work.
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RT @wooldridgemike: Many congratulations to @s_albrecht and co-authors on the publication of their book on multi-agent RL! It's sure to mak….
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RT @karl_tuyls: The first textbook on multi-agent reinforcement learning is finally out - as I said before, a landmark for the field, the f….
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