🚨Scaling RL Most RL methods’ performance saturate at ~5 layers. In this work led by Kevin Wang, we crack the right configuration for scaling Contrastive RL and go beyond 1000 layers NNs! Deep NNs unlock emergent behaviors and other cool properties. Check out Kevin’s thread!

🚀 What happens when you modify the spectrum of singular values of the merged task vector? 🤔 Apparently, you achieve 🚨state-of-the-art🚨 model merging results! 🔥 ✨ Introducing “No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces”

Reinforcement learning agents should be able to improve upon behaviors seen during training. In practice, RL agents often struggle to generalize to new long-horizon behaviors. Our new paper studies *horizon generalization*, the degree to which RL algorithms generalize to reaching distant goals. 1/

Just hit 100 stars on GitHub with JaxGCRL! ✨ We're working on a frictionless experience so users can discover, install, and run their first experiment in under 10 minutes. Want to join the team? We're looking for contributors to make JaxGCRL the go-to GCRL repository! 🚀 github.com/MichalBortki...

For my first post on Bluesky .. I'll start by announcing our 2025 edition of EEML which will be in Sarajevo :) ! I'm really excited about it and hope to see many of you there. Please follow the website (and Bluesky account) for more details which are coming soon ..

HOT 🔥 fastest, most precise, and most capable hand control setup ever... Less than $450 and fully open-source 🤯 by @huggingface, @therobotstudio, @NepYope This tendon-driven technology will disrupt robotics! Retweet to accelerate its democratization 🚀 A thread 🧵

🤖 Introducing RL Zero 🤖: a new approach to transform language into behavior zero-shot for embodied agents without labeled datasets!

Excited to invite you to our #NeurIPS spotlight poster "BRO: Bigger, Regularized, Optimistic"! 🎉 📍 Poster #6302 📅 West Ballroom A-D 🕚 Friday, 11:00-14:00 Join us to discuss with Michał Nauman and me. Let’s talk SOTA in RL! 💪 🧵👇