Want to understand more about game theory and control in multi agent systems? Join us this Friday (August 9th) to hear from Negar Mehr (Negar Mehr) about “Interactive Autonomy: Game-Theoretic Learning and Control for Multi-Agent Interactions”

Based on the poster by Ben Eysenbach poster on Notable Women+ in RL, I’ve compiled a list of these amazing women for you to follow on X. Some may not be on X but If I missed anyone, please let me know. x.com/i/lists/182285…

Incredibly admirable of Ben Eysenbach to take the time to make this, especially when he's busy starting up his lab at Princeton. Thanks for being such an ally Ben!

#BerkeleyME is seeking candidates for a tenure-track faculty position at the Assistant Professor level in the core areas of Dynamics or Fluid Mechanics. Apply by November 15th! me.berkeley.edu/faculty/me-ope…

🚨 I am recruiting for 2 new PhD students and 1 postdoctoral researcher to join my lab at UC Berkeley for summer 2025 start dates! If you have a background in mechanical engineering, hci, and/or cognitive science + an interest in changing the future of design, please apply!

Spotted at ETH's Automatic Control Laboratory! 😀

very important announcement about RSS 2025 paper submission deadlines:

At our #ICRA2025 paper, we show how an LLM can break down complex tasks into subtasks for curriculum generation, enabling robots to learn challenging skills—automatically! Using our pipeline, a humanoid robot learns to walk—no manual reward shaping or heuristics needed!

A fantastic event organized by Luca Carlone, whose tremendous effort brought everyone together!

It was a pleasure to present as part of the PATH seminar series! I was involved with PATH when I first started my PhD, so it was especially meaningful to return and share my work with the community again!

My students surprised me again with a birthday celebration today, and it completely made my day🎉 Feeling incredibly grateful to work with such thoughtful, talented, and amazing people 🥰🐻

Check out our #RSS2025 work on collaboratively training NeRFs in the real world despite inevitable communication dropouts!

I recently had a lunch time conversation with a very senior AI researcher about how are multi-agent problems differ from single agent (their starting point was they do not). One point that made them think: As computers scale, the rest of the world (i.e. no agentic parts) is not