I had such a great time helping organize EWRL 2025 with an amazing team 🎉 Loved being part of it and meeting so many passionate reinforcement learning enthusiasts! @ewrl18.bsky.social

Truly chuffed for our fearless food physicists @mpipks.bsky.social + collabs from AT @istaresearch.bsky.social, IT & ES who won this year’s Ig Nobel - the #NobelPrize of hearts❤️for cracking the science of perfect pasta !🍝Kudos to all for intrepidly consuming lots of cheese in the name of science!😋

I wrote a short post on our newest ICML paper addressed at people who are not experts in machine learning. Check it out!

A cute little animation: a critically damped harmonic oscillator becomes unstable with integral control if the gain is too high. Here, at K_i = 2, a Hopf bifurcation occurs: two poles of the transfer function enter the right-hand s-plane and the closed-loop system becomes unstable.

📣Registration for EWRL is now open📣 Register now 👇 and join us in Tübingen for 3 days (17th-19th September) full of inspiring talks, posters and many social activities to push the boundaries of the RL community!

I am going to present the poster during the next poster session. 11am Wed. Poster W #707

I really, really like this paper and as an open question, would love to see it tested on more memory benchmarks

Onno and I will be presenting our poster at # W1005 tomorrow (Wed) morning. He made a great thread about it, come chat with us about POMDP theory :)

I am in Vancouver at ICML, and tomorrow I will present our newest paper "Partially Observable Reinforcement Learning with Memory Traces". We argue that eligibility traces are more effective than sliding windows as a memory mechanism for RL in POMDPs. 🧵

Great talk by @claireve.bsky.social about our joint work on memory traces this morning. Come join me at poster 94 if you want to know more! #RLDM2025

This is a joint work with @onnoeberhard.com and Michael Mühlebach, and the poster will be presented by Onno tonight at #RLDM, and later in July at @icmlconf.bsky.social

This morning at #RLDM I talked about Memory Traces, a simple representation for POMDPs that’s probably good at remembering old observations. arxiv.org/abs/2503.15200

Our work on Open Loop RL will be presented by @onnoeberhard.com at L4DC this week. He made a very nice summary thread ⬇️

Super interesting work, take a look! 👀

I'm flying to Michigan today to present our new paper "A Pontryagin Perspective on Reinforcement Learning" at L4DC, where it has been nominated for the Best Paper Award! We ask the question: is it possible to learn an open-loop controller via RL? 🧵

🎤 Meet the speakers! Marcus Hutter (www.hutter1.net) is a Senior Researcher at DeepMind and Honorary Professor at ANU. His research focuses on the information-theoretic foundations of inductive reasoning and reinforcement learning. ⌛Still time to submit your paper or contributed talk proposal!

🎤 Meet the speakers! Peter Dayan (www.mpg.de/12309370/bio...) is Director of the MPI for Biological Cybernetics and a pioneer in neuroscience and AI. His work focuses on brain decision-making, the role of neuromodulators and neuronal malfunctions in psychiatric diseases . 🕙 Still time to submit!

📢 Deadline extended! Submit your work to EWRL — now accepting papers until June 3rd AoE. This year, we're also offering a fast track for papers accepted at other conferences ⚡ Check the website for all the details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/

News!⚡ We’re pleased to announce a new Call for Contributed Talks to bring novel and diverse viewpoints to EWRL2025. Early-career researchers are especially encouraged to submit proposals and share their work with the community. Full details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/

Still a few days left to submit! ⌛ Don’t miss out! Check the website for all the details: euro-workshop-on-reinforcement-learning.github.io/ewrl18/

EWRL has been my favorite conference experience so far. Very excited that we are organizing it in Tübingen this year!

Mark your calendars, EWRL is coming to Tübingen! 📅 When? September 17-19, 2025. More news to come soon, stay tuned!

Truly inspiring work.

Interesting idea: RL with memory traces = exponential moving averages of latent encodings. arxiv.org/abs/2503.15200 O. Eberhard, M. Muehlebach, @claireve.bsky.social

If you are into ML theory (RL or not) with a proven track record, and you are interested in an industry research position, PM me. Feel free to spread the word.