We’re excited to announce our next speaker: Roberta Raileanu (Roberta Raileanu) from Google DeepMind! Roberta will discuss NetHack: A Grand Challenge for RL and LLM Agents Alike. ⚔️ Join us on August 5th to learn how to develop agents capable of tackling open-ended environments!

🚀 The REALM workshop at #ACL2025NLP was an absolute blast 🔥in the beautiful Vienna 🇦🇹🎻 Kicked off with a packed room. Thanks to the ACL organizers, the workshop was broadcast live to 2 larger overflow rooms and even into the hallway. In total, we had ~400 attendees including

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

Excited to be in Edmonton for the RL_Conference this week! Today I’ll be at Inductive Biases in RL and Reinforcement Learning & Video Games Workshop @RLC giving two workshop talks and participating in the panels. Stop by to say hello! 📍 Inductive Biases in RL Workshop ⏰ 9:15am 🤖 LLM Whispers: Injecting Human Priors into RL

Genie 3 feels like a watershed moment for world models 🌐: we can now generate multi-minute, real-time interactive simulations of any imaginable world. This could be the key missing piece for embodied AGI… and it can also create beautiful beaches with my dog, playable real time

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 Jack Parker-Holder and Shlomi Fruchter. Below some interactive worlds and capabilities that were highlights for me

It was incredible to work on embodied agent training in the Genie 3 world model as my first project at Google DeepMind, and truly see the future of training generalist agents in unlimited environments!! Thanks so much to the team 🥰🥰

Incredible progress on world models with Genie 3, kudos to the team!!! 🚀🌍🚀

Very honoured that our paper was granted an outstanding paper award for scientific understanding in RL during the RL_Conference banquet! Reggie and Evangelos deserve the bulk of the credit, so congrats to them and all the other awards winners!

PufferLib has won a best paper award for resourcefulness in reinforcement learning! Thank you to our entire open-source community + of course Spencer Spencer Cheng, who has built more of the environments than anyone else! Come chat with us in person today/tomorrow!

🥳 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!

It was an honor to receive the Outstanding Paper Award on Tooling, Environments, and Evaluation in Reinforcement Learning for Syllabus! Come see my talk today at 10:20am in room CCIS 1-140 or check out our poster (#29) at 3pm!

Amazing, many congratulations to the whole team! 🥳🏆

Another great and thought-provoking keynote by Joelle Pineau at RL_Conference , questioning what we mean (and what we should mean) when we talk about "value" in RL!

Hard to imagine a more deserved award. Doing the engineering that's rarely rewarded.

At RLC, we aim to celebrate more diverse papers, with contributions that may fly under the radar at other conferences.

One word: relentless. just in the past two weeks, we’ve shipped: 🌐 Genie 3 - the most advanced world simulator ever 🤔 Gemini 2.5 Pro Deep Think available to Ultra subs 🎓 Gemini Pro free for uni students & $1B for US ed 🌍 AlphaEarth - a geospatial model of the entire planet

Was great listening to Turing award winner Rich Sutton tell us about his vision for the future of RL (and AI) RL_Conference !

PufferLib RLC 2025 Outstanding Paper: RL at Millions of Steps per Second. Free + open source for academic and commercial use. We offer support packages for businesses with existing internal RL efforts and larger contracts on solving new problems.

LLMs can guide model output diversification via QDAIF (+ more recent works inspired by it, e.g. Rainbow Teaming, ACES). Now you can play with it in pyribs, a general-purpose library for QD! Big thanks to folks from ICAROS Lab (and Bryon Tjanaka for making it!)