Jakob Foerster
@jfoerst.bsky.social
4.2K followers 19 following 15 posts
Jakob
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jfoerst.bsky.social
Late to the party (since I just took some time to spend with our two little ones) but luckily good science is timeless ;)
mattieml.bsky.social
PQN Blog 1/3: TD methods are the bread and butter of RL, yet can have convergence issues when used in practice. This has always annoyed me. Find out below why TD is so unstable and how can we understand this instability better using the TD Jacobian. @flair-ox.bsky.social @jfoerst.bsky.social
Fixing TD Pt I: Why is Temporal Difference Learning so Unstable?
blog.foersterlab.com
jfoerst.bsky.social
PQN puts Q-learning back on the map and now comes with a blog post + Colab demo! Also, congrats to the team for the spotlight at #ICLR2025
mattieml.bsky.social
PQN blog 3/3 👉take a look at Matteo's 5-minute blog covering PQN’s key features, plus a Colab demo with JAX & PyTorch implementations mttga.github.io/posts/pqn/

🔎 For a deeper dive into the theory:
blog.foersterlab.com/fixing-td-pa...
blog.foersterlab.com/fixing-td-pa...

See you in Singapore! 🇸🇬
Simplifying Deep Temporal Difference Learning
A modern implementation of Deep Q-Network without target networks and replay buffers.
mttga.github.io
jfoerst.bsky.social
My group @FLAIR_Ox is recruiting a postdoc and looking for someone who can get started by the end of April. Deadline to apply is in one week (!), 19th of March at noon, so please help spread the word: my.corehr.com/pls/uoxrecru...
Job Details
my.corehr.com
Reposted by Jakob Foerster
chriswolfvision.bsky.social
That's the first time that I see a video by chess.com cited in an accepted ICLR paper, in particular on handshakes vs. fist bumps during a chess competition ...

By Oxford, @jfoerst.bsky.social

Paper: openreview.net/forum?id=wFg...

Video: www.youtube.com/watch?v=6fS7...
@danielrensch.chess.com
Reposted by Jakob Foerster
aelouass.bsky.social
@jfoerst.bsky.social take on how the community sees the ARC Challenge and how we evaluate models and use benchmarks nowadays is 👌.

#more_science_less_hype (please).

PS: Amazing discussion and good brain food, as usual with MLST.
ImageNet Moment for Reinforcement Learning?
YouTube video by Machine Learning Street Talk
www.youtube.com
jfoerst.bsky.social
🚨 PSA 🚨 Deadline to apply for your dream Phd in ML
@FLAIR_Ox
is coming up on the 2nd of December AOE. We work on compute-only scaling of LLMs, (meta/multi-agent) RL at the Hyperscale, Human-AI coordination, opponent-shaping for vaccine design, GenAI for finance & much more..
DPhil in Engineering Science | University of Oxford
About the courseThe DPhil in Engineering Science will offer you the opportunity to develop in-depth knowledge, understanding and expertise in your chosen field of engineering research. To support
ox.ac.uk
jfoerst.bsky.social
correct -- this runs on top of an open-source protocol and the UI is a Twitter clone. How hard can this be?
jfoerst.bsky.social
wth did we not go to an open-source and non-for profit alternative? en.wikipedia.org/wiki/Bluesky
jfoerst.bsky.social
sad times. Joking aside, have you tried pufferlib? I am really curious how it compares and contrasts to JAX RL line of work and haven't seen much direct comparison.
jfoerst.bsky.social
Candidates also need to apply for an Engineering DPhil by 2nd of Dec AOE (if they haven’t already) listing me as the supervisor, www.ox.ac.uk/admissions/g... The student should have an outstanding track record of academic excellence and relevant research experience.
DPhil in Engineering Science | University of Oxford
About the courseThe DPhil in Engineering Science will offer you the opportunity to develop in-depth knowledge, understanding and expertise in your chosen field of engineering research. To support
www.ox.ac.uk
jfoerst.bsky.social
Apply by emailing a CV, personal statement, and research proposal to “[email protected]” by 2nd of Dec AOE. Joint interviews will be held in January. Shortlisted candidates will also be invited to apply to FAIR.
jfoerst.bsky.social
The goal is to improve the generalisation abilities and data efficiency of GenAI, e.g. using RL and curriculum learning to train LLMs at the frontier of learnability.
For more details about our work, check out foersterlab.com and joao.science
Home
FLAIR is a research group in the Department of Engineering Science at the University of Oxford, specialising in Reinforcement Learning.
foersterlab.com
jfoerst.bsky.social
Hello BlueSky! Joao Henriques (joao.science) and I are hiring a fully funded PhD student (UK/international) for the FAIR-Oxford program. The student will spend 50% of their time @UniofOxford and 50% @MetaAI (FAIR) in London, while completing a DPhil (Oxford PhD). Deadline: 2nd of Dec AOE!!
João F. Henriques
Research of Joao F. Henriques
joao.science