It was great to visit @sheffielduni.bsky.social today to give an invited talk on work from my PostDoc at MSR, and have a chance to talk to students and faculty at the CS department. Thanks a lot to Robert Loftin for the kind invitation and for hosting me!

🇨🇦 Heading to @rl-conference.bsky.social next week to present HyperMARL (@cocomarl-workshop.bsky.social) and Remember Markov (Finding The Frame Workshop). If you are around, hmu, happy to chat about Multi-Agent Systems (MARL, agentic systems), open-endedness, environments, or anything related! 🎉

Will be at ICML and looking to hire a postdoc to help us scale up and deploy RL in self-driving. So, hit me up to chat.

The Edinburgh RL Reading group is back with a fresh new website 👏 Anyone is welcome to attend!

Eugene is awesome! — if you are interested in autonomous driving and RL, and New York sounds like an exciting place for a postdoc then this is an amazing opportunity! 👇

Hiring a postdoc to scale up and deploy RL-based planning onto some self-driving cars! We'll be building on arxiv.org/abs/2502.03349 and learn what the limits and challenges of RL planning are. Shoot me a message if interested and help spread the word please! Full posting to come in a bit.

Our textbook “Multi-Agent Reinforcement Learning: Foundations and Modern Approaches” has sold out! Another print round with minor corrections is in production with @mitpress.bsky.social and coming 👏 An errata of these corrections and the updated book PDF can already be found at www.marl-book.com

📜🤖 Can a shared multi-agent RL policy support both specialised & homogeneous team behaviours -- without changing the learning objective, requiring preset diversity levels or sequential updates? Our preprint “𝘏𝘺𝘱𝘦𝘳𝘔𝘈𝘙𝘓: 𝘈𝘥𝘢𝘱𝘵𝘪𝘷𝘦 𝘏𝘺𝘱𝘦𝘳𝘯𝘦𝘵𝘸𝘰𝘳𝘬𝘴 𝘧𝘰𝘳 𝘔𝘶𝘭𝘵𝘪-𝘈𝘨𝘦𝘯𝘵 𝘙𝘓” explores this!

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

On my way to Detroit for @aamasconf.bsky.social! Looking forward to presenting the last work from my PhD at the main conference, and work from @msftresearch.bsky.social at the Adaptive and Learning Agents Workshop. More info 👇 If you'd like to chat, feel free to DM me!

We are making available an experimental and interactive real-time gameplay experience in Copilot Labs, powered by our Muse family of world models. Learn more about the research underpinning this experience: www.microsoft.com/en-us/resear...

Call for papers! 🎉 If you have felt confused about evaluation in explainable AI, this workshop is for you! We are excited to go to Bologna @ ECAI'25 as we try to build better methods for evaluating XAI. Can't wait to see what ideas the community will bring! sites.google.com/view/excd-20...

My group @FLAIR_Ox is recruiting a postdoc and looking for someone who can get started by the end of April. Deadline to apply is in one week (!), 19th of March at noon, so please help spread the word: my.corehr.com/pls/uoxrecru...

What happens when we train generative AI models to predict everything that happens in a modern video game? In my TED AI talk I share insights from how AI can learn the physics of a game, and how this research could empower game creatives: www.ted.com/talks/katja_...

Today in Nature: our research on world and human action models (WHAM) - generative ai models of video games, aimed towards supporting game creatives in gameplay ideation : nature.com/articles/s41... - huge congrats to everyone who made this happen, I couldn't be more proud 🥳

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 and everything coming together now after re-joining the team 👏

An exciting new internship opportunity in my team: Generative AI for Human Creativity - in the context of a multi-disciplinary internship with a fantastic set of mentors 🤩

I had an awesome experience at the AAMAS doctoral consortium (despite virtual format) and would highly recommend it to any PhD student. @sharky6000.bsky.social has been an amazing mentor who gave me lots of motivation and advice for my journey forward! Deadline in 7 days so apply soon 👇

The first textbook on multi-agent reinforcement learning is out - a landmark for the field, the first textbook covering game-theoretic foundations with state-of-the-art deep learning! Congrats to its authors Stefano Albrecht , LukasSchaefer and Filippos Christianos More details: www.marl-book.com

📚📢Christmas came early 🎅 Our new textbook on multi-agent reinforcement learning with @mitpress.bsky.social is out NOW! The book is available from MIT Press (mitpress.mit.edu/978026204937...) or your bookstore nearby. Why you should be interested, what you get, and more all in a 🧵👇

My team at Waymo is hiring two London-based interns for Summer 2025. Please consider applying! careers.withwaymo.com/jobs/2025-su... careers.withwaymo.com/jobs/2025-su...

📚🧵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.bsky.social! What you get, why you should be interested and more, all below in a short 🧵👇

Excellent points being made and I’m sure everyone can resonate with this experience. Let’s try to be the reviewer we’d like to have and improve the work we review rather than being antagonistic and trying to find reasons to reject.

To paraphrase Dennett (rip 💔), the goal of reviewing is to determine truth, not to conquer your opponent. Too many reviewers seem to not have internalised this. In my opinion, this is the hardest lesson a reviewer has to learn, and I want to share some thoughts.

My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch. fleuret.org/dlc/ And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!) fleuret.org/lbdl/

Excited to start my #bsky journey by posting about opportunities in my team 🤩 We're the aka.ms/game-intelli... team at Microsoft Research, looking for awesome Research Interns to work with us on generative AI for applications in video games and beyond. Is that you? Apply here: aka.ms/msr-internsh...

Want to learn / teach RL? 
 Check out new book draft: Reinforcement Learning - Foundations
sites.google.com/view/rlfound... W/ Shie Mannor & Yishay Mansour This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.