
Antoine Cully
@cullyantoine
Director of the Adaptive and Intelligent Robotics Lab (AIRL) Senior Lecturer in Robotics and AI at Imperial College London
ID: 449236360
http://www.imperial.ac.uk/adaptive-intelligent-robotics/ 28-12-2011 22:14:38
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Tim Tim Rocktäschel did a great job in his #ICLR2025 keynote on open-endedness of explaining the ideas we are all so passionate about. A huge thanks for the kind words and for featuring our work, including Jenny Zhang 's OMNI. cc Kenneth Stanley Joel Lehman


ADAS: great work from Shengran Hu Cong Lu and Jeff Clune! A very useful way to find the best reasoning structure to solve different domains. I am looking forward to seeing how this could be applied to other great challenges like solving NetHack.


Can’t find a sitting spot at Chelsea Finn ‘s keynote today. Very interesting to how crucial it is to discriminate different strategies in demos when fine tuning models. Improved specialisation for sure helps, but I think reduced strategy diversity may limit resilience. Let’s see


Happening now! Come to chat with Luca Grillotti to learn how we do unsupervised skill discovery on a real robot in less than a dozen hours. #ICLR2025



Great talk from Tim Rocktäschel and Jack Parker-Holder this morning at #ICLR2025, again super packed!! Did not have time for my question so here it goes: it seems that the multi-agent aspect is conditioned on the user inputs, but to go further we need to give the world its own mind. How?


awesome collaborators! Maxence Faldor, Antoine Cully, Jeff Clune 🌟 project: x.com/jeffclune/stat…









Google's AlphaEvolve system discovers and optimises algorithms by orchestrating Large Language Models (LLMs) within an evolutionary computation framework inspired MAP Elites from Jean-Baptiste Mouret and Jeff Clune. LLMs propose code modifications which are then automatically evaluated,


🚀 QDax v0.5.0 just released!! github.com/adaptive-intel… Huge thanks to Paul Templier Maxence Faldor Hannah Janmohamed Manon Flageat Lisa Coiffard Runjun Mao and Antoine Cully for making QDax better for the entire QD community! A 🧵 with some new functionalities 👇