🔥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

👀 Language models trained to play Among Us with MARL!

My group Foerster Lab for AI Research is recruiting a postdoc and looking for someone who can get started by the end of April. Deadline to apply is in one week (!), 19th of March at noon, so please help spread the word: my.corehr.com/pls/uoxrecruit…

🌹 Today we're releasing Unifloral, our new library for Offline Reinforcement Learning! We make research easy: ⚛️ Single-file 🤏 Minimal ⚡️ End-to-end Jax Best of all, we unify prior methods into one algorithm - a single hyperparameter space for research! ⤵️

⁉️ While trying to find the best hyperparameter setting of ORL algorithms using a bandit, we noticed something unexpected: 🤯 After evaluating the episodic returns of more and more policies online, the bandit's performance *decreased*! x.com/JacksonMattT/s…

🔮Looking forward, we intend Unifloral🌹to be more than a library—it's a scaffolding 🌱 for indexing current & future ORL work!🏵️ We encourage 🥺 you to: 🔄 PR your awesome work using the 🌹 format 🎮 Explore the unified implementation 🧩 Try to find new SOTA algos with it

FLAIR is at ICLR 🇸🇬 Find out our schedule for the week 👇

We are presenting Kinetix today! Oral - 11:30am Peridot Room 5F Poster - 3pm Hall 3+2B 377

Hello World: My team at FAIR / AI at Meta (AI Research Agent) is looking to hire contractors across software engineering and ML. If you are interested and based in the UK, please fill in the following short EoI form: docs.google.com/forms/d/e/1FAI…

Excited to announce my first paper, with Jakob Foerster and Foerster Lab for AI Research, was accepted into @rl_conference 2025! We establish a new UED method called NCC that obtains strong performance based on principles of optimisation theory.

What if LLMs knew when to stop? 🚧 HALT finetuning teaches LLMs to only generate content they’re confident is correct. 🔍 Insight: Post-training must be adjusted to the model’s capabilities. ⚖️ Tunable trade-off: Higher correctness 🔒 vs. More completeness 📝 with AI at Meta 🧵