🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Short interview/discussion with Jens Kober and Geert-Jan Houben on AI and ML at TU Delft . (Thanks to TU Delft | AI Initiative for doing all the hard work!)

Check out our journal article summarizing our recent work on doing multi-agent reinforcement learning with temporally-extended actions led by Yuchen Xiao Asynchronous multi-agent deep reinforcement learning under partial observability journals.sagepub.com/doi/10.1177/02…

🚨🚨 RLC deadline has been extended by a week! Abstract deadline is Feb. 21 with a paper deadline of Feb. 28 🚨🚨. Please spread the word!

Interested in RL and its links to control? Join us March 24 and 25 at the CWI, Amsterdam, for a great workshop on these topics! Speakers include: Sean Meyn, Ann Nowe, Bert Kappen, yours truly and more... cwi.nl/en/events/cwi-…

The Khoury Distinguished Postdoctoral Fellowship is a opportunity to pursue postdoctoral research with funding provided by the college. This fellowship provides a high level of independence. The applications for are due 2/20. khoury.northeastern.edu/research/postd…

🚀 What is an agent? A question that’s been tackled for decades is now resurfacing as we enter the next phase of frontier AI: agentic models. Surprisingly, a well-established research community that has studied agents for years is often overlooked. Let’s set the record straight.

Join our team at Cambridge! We have fully funded PhD positions in robot learning, novel robot hardware design, and reinforcement learning. Looking for applicants with a strong background in dexterous manipulation & hardware prototyping. Interested? Please send me a message/email.

Congrats to Andy and Rich. A well-deserved recognition of their work and reinforcement learning in general!

RLC registration is up! Last year we sold out so register early. In particular, register early if you need Canadian visas. rl-conference.cc/register.html

The list of accepted workshops at RLC is now available! I thoroughly enjoyed the RLC workshops last year, and this year, they seem to be as good as expected! That's very different from what I have been seeing in other conferences, just saying ... rl-conference.cc/accepted_works…

URGENT! The vital Oregon State University Open Source Lab, which hosts key ROS websites (docs.ros.org, wiki.ros.org, etc) is facing a shutdown due to declining corporate donations. The FOSS community must rally to bridge the funding gap! osuosl.org/blog/osl-futur…

Good luck to everyone finalizing papers on robot learning for the Conference on Robot Learning deadline tonight! BTW, anyone worldwide is welcome to join the Conference on Robot Learning (CoRL) Foundation member list. It's free and we won't share your info with anyone: app.joinit.com/o/corl-foundat…

The slides for the tutorial Frans Oliehoek and I gave at The AAMAS Conference (A Concise Introduction to Cooperative Multi-Agent Reinforcement Learning) are below. Check them out and let us know what you think! khoury.northeastern.edu/home/camato/tu…

This week, we have the honor of hosting Chris Amato as our guest speaker.

Excited to receive one of these awards to work with Alina Oprea on Multi-Agent Reinforcement Learning Cyber Defense for Securing Cloud Computing Platforms.

Here is a link to the shortish (1.5 hour) tutorial I gave the other day called A Short Introduction to Cooperative Multi-Agent Reinforcement Learning. Check it out and let me know what you think! youtube.com/live/OQmJwBmwB…

We now know RL agents can zero-shot crush driving benchmarks. Can we put them on a car and replace the planning stack? We're hiring a postdoc at NYU to find out! Email me if interested and please help us get the word out.

Propose some socials for RLC! Research topics, affinity groups, niche interests, whatever comes to mind! rl-conference.cc/call_for_socia…

Internship opportunity! Work with the ML team at DeepFlow London to build LLM agentic systems for multi-agent collaboration with human and AI workers.

Congrats to my PhD student, Andrea Baisero, on defending his thesis on "Privileged Training Frameworks for Partially Observable Reinforcement Learning" with Robert Platt, Lawson Wong, and Chongjie Zhang.