🦎🦎 GECCO 2025 presentation 🦎🦎 excited to present our work on Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity (arxiv.org/abs/2504.01915) in collaboration with Paul Templier and Antoine Cully 🧬 catch us on Thursday 15th July @ 15:30pm

🚨 New paper at GECCO 2025 with Antoine Cully! 🦎 We introduce MOUR-QD — the first multi-objective QD algorithm that works without a hand-crafted feature space. A step toward more flexible, unsupervised exploration. 🧵👇

Want to hear about a new approach that scales with massive parallelization, generating diverse, high-performing DNN policies in minutes? Join our presentation at GECCO 2025 on Friday 18th July 11:00am! Work done with Maxence Faldor & Antoine Cully! #GECCO2025

For the fifth consecutive year, we are coming back from from GECCO 2026 with a Best Paper Award!!!🥇 congratulations to my former PhD student Manon Flageat and our great collaborators Johann Huber, Francois Helenon, and Stéphane Doncieux 🎉🦎

My lab is Hiring! I am looking for a research engineer (pre doc) or a postdoc with strong skills in computer vision and state estimation to join our TRUSTLINE project. More info: imperial.ac.uk/jobs/search-jo…

I’m building a new team at Google DeepMind to work on Open-Ended Discovery! We’re looking for strong Research Scientists and Research Engineers to help us push the frontier of autonomously discovering novel artifacts such as new knowledge, capabilities, or algorithms, in an

Just a few days left to apply!

Excited to share our new pyribs tutorial on Quality Diversity through AI Feedback (QDAIF)! This tutorial integrates pyribs with LLMs (via LangChain & ollama) to write diverse stories about "a suspicious spy and a rich politician." Available here: docs.pyribs.org/en/stable/tuto…

What if we could evolve AI models like organisms in nature, letting them compete, mate, and combine their strengths to produce ever-fitter offspring? Excited to share our new work: “Competition and Attraction Improve Model Fusion” presented at GECCO’25🦎 where it was a runner-up

We introduce PuzzleJAX, a benchmark for reasoning and learning. 🧩💡🦎 PuzzleJAX compiles hundreds of existing grid-based PuzzleScript games to hardware-accelerated JAX environments, and allows researchers to define new tasks via PuzzleScript's concise rewrite rule-based DSL.

Got to see very early footage of their AI a while back, and it looked very promising! Can't wait to see how it's evolved!

🏓🤖 Our humanoid robot can now rally over 100 consecutive shots against a human in real table tennis — fully autonomous, sub-second reaction, human-like strikes.

I'm excited to announce that I'm joining the shoal at Sakana AI! 🐠🐟🐡 I'll be working on biologically-inspired intelligence, and hope to dive into some other projects too 🌊🩳⛱️