Studying autonomous Deep RL agents @FlowersINRIA. Prev: @huggingface. Also playing bass 🎸

Bordeaux, France
Joined November 2014
Our paper proposing a first study of LLMs grounded in an interactive environment with Online RL got accepted to ICML 2023 🎉 We also released new results 🚀
🥳 🎊 🎉 Exciting News! Our paper "Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning" has been accepted for ICML2023. We have posted a new version on arxiv with 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 to celebrate 🎉📝 arxiv.org/abs/2302.02662
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Clément ROMAC @ ICML 2025 retweeted
🧵 New paper: RL for discovering and controlling self-organizing phenomena. We introduce CARL, a closed-loop agent that learns to create self-organizing patterns in Lenia, steer their behavior, and let humans guide them in real time. Project website + interactive demos below ↓
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Clément ROMAC @ ICML 2025 retweeted
We looked into the weeds of hindsight experience replay and came up with an efficient way of learning from all goals at once in off-policy goal-conditioned RL! It works well for reasonable numbers (100s--1000s) of non-exclusive sparse reward goals
Hindsight Experience Replay has become the ubiquitous method for goal-conditioned reinforcement learning, but leaves open the question of which goal to relabel with. In this work, accepted at ICML, we propose instead simply Learning Everything All at Once (LEO). 1/
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Clément ROMAC @ ICML 2025 retweeted
I want to share Alan Code, my own implementation of a Claude Code like agent 🤖 What it adds: - Designed as a Python library to build your systems on, not just a CLI - Browser GUI with an LLM Perspective panel and Git integration - Project and global memory + live cost tracking
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Clément ROMAC @ ICML 2025 retweeted
Our self-improving genetic algorithm received the 2nd place paper award for the @arcprize! Congrats in particular to @PourcelJulien the experiments wizard! We proposed a simple, general algorithm ⬇️
ARC Prize 2025 Winners Interviews Paper Award 2nd Place @PourcelJulien, @cedcolas, @pyoudeyer discuss SOAR - a self-improving evolutionary program synthesis framework that fine-tunes an LLM on its own search traces - without human-engineered DSLs or solution datasets.
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Clément ROMAC @ ICML 2025 retweeted
New research engineer position open in my lab @FlowersINRIA at @Inria on generative AI agentic architectures for educational technologies ! This is for a large scale collaborative project with EvidenceB edTech company. More info here: docs.google.com/document/d/1…
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Clément ROMAC @ ICML 2025 retweeted
🚀 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: flowers.inria.fr/jobs/
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Clément ROMAC @ ICML 2025 retweeted
At NeurIPS next week. AI × Science afterparty. 800+ people on registration. See you there!
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Congratulations to the amazing Dr. Thomas Carta 👏
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.
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Clément ROMAC @ ICML 2025 retweeted
And just like that, @OpenAI gpt-oss is now the number one trending model on @huggingface, out of almost 2M open models 🚀 People sometimes forget that they've already transformed the field: GPT-2, released back in 2019 is HF's most downloaded text-generation model ever, and Whisper has consistently ranked in the top 5 audio models. Now that they are doubling down on openness, they may completely transform the AI ecosystem, again. Exciting times ahead!
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Clément ROMAC @ ICML 2025 retweeted
Visiting @FlowersINRIA this week to dive deeper into a project I’ve been working on with @ClementRomac, @cedcolas, and @pyoudeyer all about balancing exploration and exploitation in autotelic RL agents. Preview soon 👀
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Clément ROMAC @ ICML 2025 retweeted
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. 🧵
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Clément ROMAC @ ICML 2025 retweeted
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)
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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! xitter.cf/CartaThomas2/status/19…
🚀 Introducing 🧭MAGELLAN—our new metacognitive framework for LLM agents! It predicts its own learning progress (LP) in vast natural language goal spaces, enabling efficient exploration of complex domains.🌍✨Learn more: 🔗 arxiv.org/abs/2502.07709 #OpenEndedLearning #LLM #RL
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Clément ROMAC @ ICML 2025 retweeted
We just released SmolTalk 2, a carefully balanced dataset to unlock dual-mode reasoning in LLMs through multi-stage training 🔥! Models trained on SmolTalk 2 can: 🎲 Reason across multiple turns 🌎 Converse in 6 languages: en, it, es, de, pt, fr 🛠️ Use tools with & without long CoT Link to the dataset ⤵️
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Clément ROMAC @ ICML 2025 retweeted
Thrilled to finally share what we've been working on for months at @huggingface 🤝@pollenrobotics Our first robot: Reachy Mini A dream come true: cute and low priced, hackable yet easy to use, powered by open-source and the infinite community. Tiny price, small size, huge possibilities. A robot built to code, learn, share with AI builders of all ages, all around the globe, using the latest vision, speech and text AI model. A first robot for today's and tomorrow's AI builders. Read more and order now at hf.co/blog/reachy-mini First deliveries expected right after the summer.
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Clément ROMAC @ ICML 2025 retweeted
Two weeks left to register (for free) for the stand-alone workshop on intrinsically motivated open-ended learning (IMOL) @UniofHerts, 8. to 10. of Sept. 2025, UK. Details on website: imol2025.github.io/ Please share with interested parties. #AI #IntrinsicMotivation
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We're giving a public and remote talk on MAGELLAN! 1h talk + 1h Q&A, to discuss MAGELLAN but also autotelic (LLM) agents, learning progress, curiosity-driven learning... All you need is to register 😀
🔔 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 🎟️ forms.gle/1PC2fxJx1PZYfqFr7
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Clément ROMAC @ ICML 2025 retweeted
🔔 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 🎟️ forms.gle/1PC2fxJx1PZYfqFr7
🚀 Introducing 🧭MAGELLAN—our new metacognitive framework for LLM agents! It predicts its own learning progress (LP) in vast natural language goal spaces, enabling efficient exploration of complex domains.🌍✨Learn more: 🔗 arxiv.org/abs/2502.07709 #OpenEndedLearning #LLM #RL
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Clément ROMAC @ ICML 2025 retweeted
🌍 Imagine transforming an LLM into a curiosity-driven AI scientist that generates theories and makes experiments to test them: This is WorldLLM! 🔬 ▶️ Check our new RLDM paper below 👇
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.
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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.
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Thanks to Guillaume Levy, @CartaThomas2 , @cedcolas, and @pyoudeyer for this exciting work.
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