🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Poster session now ! We are waiting for you with Florent Delgrange at the poster 158 ! #ICLR2024

If you are attending #ICLR2024 workshops go checkout this cool work !

Presenting work on synthetic preference generation at two #ICLR2024 workshops today: DPFM & GenAI4DM GenAI4DM Workshop. Come say hi to find out how to improve your reward model without collecting additional human feedback!

Okay people, I need some help. We’re working on a project and have been stuck for a while. My final guess for what the issue may be is that gradients are not flowing as we would want them. Does anyone have a intuitive visualisation/debugging tool for gradient flows in jax?

RL_Conference was a blast and I caught up with some of the usual suspects from european RL Claire Vernade @claireve.bsky.app Antonin Raffin Raphael Avalos Gaspard Lambrechts Riccardo Zamboni. See you all at EWRL 2024. Looking forward to next year's edition!! 🥳🧠

Two weeks ago, I publicly defended my PhD thesis, entitled « Activating Formal Verification of Deep Reinforcement Learning Policies by Model Checking Bisimilar Latent Space Models ». 📚 The full dissertation is available here: tinyurl.com/formarl (1/n)

Starting my internship at cohere today to work on LLMs! I'll be in Paris a couple of days a week, so if anyone wants to meet up, let me know!

The X account and website for the next edition of the ALA workshop is live! Follow it to get all the updates :)

Don't miss the opportunity to submit your (Multi-Agent) RL work to the ALA workshop!

Exciting news! My paper on multi-objective reinforcement learning was accepted at AAMAS 2025! We introduce IPRO (Iterated Pareto Referent Optimisation)—a principled approach to solving multi-objective problems. 🔗 Paper: arxiv.org/abs/2402.07182 💻 Code: github.com/wilrop/ipro

Excited to share the technical report on Command R7B (7B) and Command A (111B), our flagship model! These models are the result of incredible teamwork at cohere, and it was an honor to be part of it. Report: cohere.com/research/paper…

Okay, I was definitely not vague posting

🚀 Excited to share the 3rd outcome of my internship at @CohereAI: a new RL algo for agentic LLMs that combines policy learning and world modeling, letting agents verify actions before executing them. Check out the 🧵 and 📄! Big thanks to my co-authors and Cohere’s RL team 🙏