1/ 🕵️ Algorithm discovery could lead to huge AI breakthroughs! But what is the best way to learn or discover new algorithms? I'm so excited to share our brand new @rl_conference paper which takes a step towards answering this! 🧵

He's terrible. Screwed my buddy sgd.

reinforcement learning infrastructure

Delighted to announce that the 2nd edition of our workshop has been accepted to #NeurIPS2025! We have an amazing lineup of speakers: Wen Sun, Andrew Wagenmaker, Amy Zhang, Mengdi Wang, Nan Jiang, Alessandro Lazaric, and a special guest!

Excited to present this work at RL_Conference next week!! Please message if interested in coffee, lunch, etc. 😃

🇨🇦 Next week, I'll be visiting Alberta to present our paper at RLC 2025! Please reach out if you're around and want to meet up to chat about algorithm discovery, meta-RL, or anything else!

Are you ready to feel the RL? RLC starts tomorrow.

📍I'll be presenting our paper tomorrow RL_Conference ! Come check out my talk between 11:45-12:30 tomorrow in CCIS 1-160 (Evaluation and Benchmarks)! 🖼️ Also, come check out our poster tomorrow afternoon!

I’ll be presenting this paper today!! Excited to share more about this project 😃 🗣️Oral: CCIS 1-140 @ 12:00 PM 🪧Poster: #33 @ 3PM-6PM

🥳 It’s an honour to have been awarded the Outstanding Paper for Scientific Understanding in RL at RLC for our work, ‘How Should We Meta-Learn RL Algorithms?’ Thank you to the organisers RL_Conference for putting on a great conference, and congratulations to the other winners!

RL_Conference was absolutely brilliant! It was amazing getting to listen to Richard Sutton and the other great keynote speakers, catch up with old friends, meet new people and even win an award! What an awesome conference!

Was amazing to present my first paper at RL_Conference !! Really awesome to meet new folks from the community :)

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)! 🧵

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.

To all undergrads interested in learning about AI: be wary of taking “Intro to AI” as your first AI course. In many programs, the class you actually want first is “Intro to Machine Learning”. AI technology has exploded in the past 15 years thanks to deep neural networks. Yet at

As a former FLAIR intern, I can happily say that this is an amazing opportunity. I met fantastic researchers and was able to publish my own paper at RL_Conference this year. Please apply if eligible and interested, you won’t regret it!

[1/4] 🚀 We’re excited to announce the v1 release of JaxAHT – a new library for Ad Hoc Teamwork (AHT) research, built with JAX for speed & scalability! Check it out 👉 larg.github.io/jax-aht #AI #MARL #ReinforcementLearning #JAX #AdHocTeamwork

I'm pleased to announce another (fairly minor) update to my RL tutorial (I fixed some typos, cited more papers, and added a wee bit more stuff on multi-agent RL and RL for LLMs). I don't have time to work on this anymore, so enjoy it as is! (Link below)

Unifloral has been accepted as an Oral at NeurIPS 2025! Immensely grateful to my Foerster Lab for AI Research co-authors Uljad @ NeurIPS and Jarek Liesen for pouring months of effort into this project. There’s a ton of low-hanging fruit in offline RL… If you’re looking for a project, check it out!

I've compiled some notes on Unsupervised Environment Design (UED): nmonette.github.io/assets/ued_not… Please don't hesitate to reach out if interested in talking more about UED :)