Humans excel at estimating their own competence and progress on tasks. But can LLM agents do the same? With 🧭MAGELLAN, our agent predicts its own learning progress across vast goal spaces, even generalizing to new tasks! 📄Paper:

Come do an internship in the Flowers team! I’ll supervise two projects: one on curious deep-RL agents that learn a self-representation, and one on modelling real students’ learning with LLMs. More details soon , and check out the other internships, they’re super cool!

🚀 New internship positions available in the Flowers AI & CogSci lab !!! Topics: Curiosity-driven deep RL, program synthesis with SWE LLM agents, data science for edTech + other ! Only for students currently enrolled in a master program Info here: https://t.co/Cv49BOyAj0

After four incredible years in the Flowers AI & CogSci Lab, I’m thrilled to share that I’ve officially become a Doctor! 🎓💫 My thesis: “Language as a Cognitive Tool for Open Agents.” It explores how language helps artificial agents explore, adapt, and learn efficiently.

3 papers from @FlowersINRIA are presented this week at the @ALifeConf , leveraging curiosity-driven AI to explore complex behaviors in #Lenia All first authors are attending the conference if you want to discuss with them Link to interactive websites, papers and code below:

Excited to introduce Dreamer 4, an agent that learns to solve complex control tasks entirely inside of its scalable world model! 🌎🤖 Dreamer 4 pushes the frontier of world model accuracy, speed, and learning complex tasks from offline datasets. co-led with @wilson1yan

We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. Blog: https://t.co/Bj32AGXC3T Code: https://t.co/UMCSQaeOhd Like AlphaEvolve and its variants, our framework leverages LLMs to

Just setting up my art exhibition for the week in MIT's Stata center (4th floor, 32-G409) Come play with a visual modular synthesizer built from a physical compositional neural net Plug cables, twist knobs and shape amazing patterns in real time!!

We just released a new version of Syllabus! We have a demo notebook to help you get started, usability improvements, an implementation of Robust PLR, new versions of learning progress, and more! Check out this thread to learn how to get started with curriculum learning (CL)! 🧵

Harder, Better, Faster, Stronger, Real-time! We are excited to reveal Genie 3, our most capable real-time foundational world model. Fantastic cross-team effort led by @jparkerholder and @shlomifruchter. Below some interactive worlds and capabilities that were highlights for me

✨Introducing SENSEI✨ We bring semantically meaningful exploration to model-based RL using VLMs. With intrinsic rewards for novel yet useful behaviors, SENSEI showcases strong exploration in MiniHack, Pokémon Red & Robodesk. Accepted at ICML 2025🎉 Joint work with @cgumbsch 🧵

https://t.co/EHdbTLWVp6

I’m attending #ICML this week! We’ll be presenting MAGELLAN during the poster session on Thursday with @CartaThomas2 & @ClementRomac If you’re not in Vancouver, we recorded a talk presenting the paper last week, it’s available on YouTube (link below)

I'm attending ICML 2025 this week in Vancouver where we're presenting our MAGELLAN paper along with @LorisGaven and @CartaThomas2! 📅 Come discuss at our poster session on July 17 at 11 am East Exhibition Hall A-B E-2803 Or reach out for a chat! https://t.co/Uk8HKmcOHM

Introducing SOAR 🚀, a self-improving framework for prog synth that alternates between search and learning (accepted to #ICML!) It brings LLMs from just a few percent on ARC-AGI-1 up to 52% We’re releasing the finetuned LLMs, a dataset of 5M generated programs and the code. 🧵

IMOL conference happening in the UK, sept 8-10 registration is free! send an extended abstract by july 13 pls retweet if you have IMOL-adjacent followers!

@CartaThomas2 @ClementRomac @pyoudeyer @cedcolas @OlivierSigaud @SylvainLamprier

🔔 Join our MAGELLAN talk on July 2! We'll explore how LLM agents can monitor their own learning progress and choose what to learn next, like curious humans 🤔 1h presentation + 1h Q&A on autotelic agents & more! 📅 July 2, 4:30 PM CEST 🎟️

I'll be at RLDM this week to present our new paper: WorldLLM 😃 In the same spirit as our previous works — e.g. GLAM, MAGELLAN... — which investigate how to ground LLMs through interactions with external environments, WorldLLM takes a deep dive into the world modeling aspect.

New blog post ! What if LLM agents could learn by doing, not just by reading? 🤔 2024 was the year of "agentic AI"—systems that plan, act, and execute complex workflows autonomously. But current agents face critical limitations... 🧵

**When AIs Start Rewriting Themselves** Darwin G​​ödel Machine: Open-Ended Evolution of Self-Improving Agents The Darwin G​​ödel Machine can: 1. Read and modify its own code 2. Evaluate if the change improves performance 3. Open-endedly explore the solution space 🧵👇