Excited to be in Singapore 🇸🇬 for #ICLR25! We’ll present 1) Meta Motivo, a first-of-its-kind model enabling zero-shot humanoid control for any reward, goal, or motion; 2) imitation via successor feature matching; 3) flow matching for generative TD learning of future experience.

As an undergraduate student, taking Rich's course at @ualberta.bsky.social was a defining moment in my academic journey. His work and teachings have shaped the paths of countless researchers, including my own. Congrats, Rich & Andy!

And for categorical representations, @brosa.ca openreview.net/forum?id=dVp... is pretty much canon at this point!

This paper by @harwiltz.bsky.social and colleagues is one of the high points of #NeurIPS2024 for me so far: arxiv.org/abs/2409.00328

Come by West Ballroom A-D #6404 4:30 PM–7:30 PM tonight (Thursday) to talk to @jessefarebro.bsky.social and me about CALE!

Landed in Vancouver for #NeurIPS. We’ll be presenting a couple of papers with @pcastr.bsky.social and @harwiltz.bsky.social 🧵👇 and stay tuned later in the week for an exciting announcement!

How can you 0-shot transfer predictions of long-term performance across reward functions *and* risk-sensitive utilities? We can do this via Distributional Successor Features. Our recent work introduces the 1st tractable & provably convergent algos for learning DSFs. #NeurIPS2024 #6704 12 Dec, 11-2

Distributional SFs: enable 0-shot generalization of return *distribution* functions across a finite-dimensional reward function class "Foundations of Multivariate Distributional Reinforcement Learning" #NeurIPS2024 #6704 12 Dec 11am-2pm neurips.cc/virtual/2024... Wiltzer Farebrother Rowland

📢 In Defense Of Atari 📢 New blog post in which I argue why the ALE is still a valuable resource for RL research! psc-g.github.io/posts/resear...

Come join us at Trinity College Dublin for the 6th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2025) Abstract deadline January 15: rldm.org/submit