Consider submitting your work to #CoCoMARL2024

⏰Less than 2 weeks to the CoCoMARL submission deadline. Consider submitting your work on coordination and cooperation in multi-agent reinforcement learning by 26th April 23:59 (AOE). Submissions can be 4-8 pages. Checkout the submission guidelines here: sites.google.com/view/cocomarl-…

📝 Excited to shape our Program Committee? Your expertise could be invaluable in reviewing submissions, offering feedback, and crafting our agenda! Join us by filling out this Google Form today: forms.gle/2kRWy58g5q6pB2…

Super fun to be working in the field of multi-agent collaboration and seeing new applications every day.

I wrote a survey covering decentralized training and execution methods for cooperative MARL. Hopefully, people find it useful. Any feedback is more than welcome! arxiv.org/abs/2405.06161

Passionate about fostering coordination & cooperation using MARL? Want to help us sponsor author registrations for underrepresented communities? If interested, please reach out to us via DMs or email at [email protected]. Let's make a meaningful impact together.

I’m happy to announce that I’ll be a part of the ML Alignment & Theory Scholars this summer. I’ll be working with Christian Schroeder de Witt on AI Alignment and Cooperative AI. Looking forward to meeting the Berkeley alignment research community.

Thank you Cooperative AI Foundation for bringing this fantastic bunch together!

Thank you Cooperative AI Foundation !

Really nice initiative by Ben Eysenbach , who prepared these posters (hung around RL_Conference ) of notable women in RL !

Met some good people this summer at the ML Alignment & Theory Scholars.

I now have a draft of my introduction to CTDE in (cooperative) MARL. It is meant to introduce new graduate students (that already know a bit about RL) to the area. Check it out and let me know your thoughts! arxiv.org/abs/2409.03052

🎇 I’m on the academic job market! I’m a PhD candidate at Machine Learning Dept. at Carnegie Mellon. My research tackles challenges that arise from the sequential nature of human-AI interaction. Toward this goal, my work involves: 🤖 reinforcement learning, 🧠 foundation models, and 👩‍💻 human-centered AI.

Dear researchers and grad school applicants, I compiled a (incomplete) list of professors working in multi-agent learning. If you want to do research in multi-agent learning, I hope you find this helpful! :) rupalibhati.github.io/MAL-profs/

We’re excited to host Giorgia Ramponi from University of Zurich this week. Join us to learn about “Theory of Imitation Learning: from single to multi-agent systems”. See you all there!

This Friday, we’re excited to host Dave Radke from Chicago Blackhawks. David will be talking about “Multiagent challenges in Team Sports Analytics”. See y’all there!

The Cooperative AI Summer School is the best! Apply soon!

Looking to hire a student researcher to work on cool project for 6 months in DeepMind Montreal. Reqs: - Full-time masters/PhD student 🧑🏾‍🎓 - Substantial expertise in multi-agent RL, ideally including publication(s) 🤖🤖 - Strong Python coding skills 🐍 This you? Get in touch!

Excited to share that I’ll be starting my internship at Center for Human-Compatible AI tomorrow. Super psyched to be working with the fantastic Niklas Lauffer this summer!

Join the first seminar in our new 'Updates in Cooperative AI' series exploring our recent 'Multi-Agent Risks' report, live June 26th (5pm BST, 9am PT, 12pm ET) alongside Lewis Hammond Gillian Hadfield Michael Dennis.