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Jesse Farebrother

@brosa.ca
688 followers 140 following 14 posts

Ph.D. Student studying AI & decision making at Mila / McGill University. Currently at FAIR @ Meta. Previously Google DeepMind & Google Brain. brosa.ca

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Jesse Farebrother @brosa.ca · 22/04/2025
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.
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Jesse Farebrother @brosa.ca · 05/03/2025
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!
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Claas Voelcker @cvoelcker.bsky.social · 31/01/2025
And for categorical representations, @brosa.ca openreview.net/forum?id=dVp... is pretty much canon at this point!
openreview.net
Stop Regressing: Training Value Functions via Classification for...
Value functions are an essential component in deep reinforcement learning (RL), that are typically trained via mean squared error regression to match bootstrapped target values. However, scaling...
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Patrick Shafto @patrickshafto.bsky.social · 12/12/2024
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
arxiv.org
Foundations of Multivariate Distributional Reinforcement Learning
In reinforcement learning (RL), the consideration of multivariate reward signals has led to fundamental advancements in multi-objective decision-making, transfer learning, and representation learning....
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Pablo Samuel Castro @pcastr.bsky.social · 12/12/2024
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!
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Jesse Farebrother @brosa.ca · 09/12/2024
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!
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Harley Wiltzer @harwiltz.bsky.social · 09/12/2024
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
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Arthur Gretton @arthurgretton.bsky.social · 08/12/2024
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
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Pablo Samuel Castro @pcastr.bsky.social · 04/12/2024
📢 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...
The Atari 2600 console and an image of some of the games used in the ALE
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RLDM @rldmparis2027.bsky.social · 15/11/2024
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
Picture of Trinity College Dublin's campanile in the front square of the college. Writing overlayed to indicate that the RLDM conference will take place from the 11th to the 14th of June, 2025. Logos for Trinity College and the RLDM conference at the bottom of the image.
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