Heading to Copenhagen for @ellis.eu UnConference to present our latest results on multi-agent learning Then off to #NeurIPS2025 in San Diego (Wednesday) to present our works on multi-agent IL & IRL, robust MDPs, and actor-critic, and Saturday at @arletworkshop.bsky.social Happy to meet in person!

Landed in Canada 🍁 for the @rl-conference.bsky.social !

In Singapore from tomorrow for #ICLR2025! Excited to talk about RL, imitation learning, multi-agent systems, RLHF, and all things

Last days for applying for our open positions in Responsible and Trustworthy AI at the University of Zurich as (tenure-track, associate or full) professor!

Giorgia Ramponi@gioramponi.bsky.social · 2y ago

At the Institute of Informatics at University of Zurich we are hiring! Open position for a professorship (no rank, i.e. tenured-track, associate or full) in Responsible and Trustworthy AI! www.ifi.uzh.ch/en/departmen... Please help spread the word!

I am very happy to host EWRL together with @claireve.bsky.social in Tübingen! Looking forward to your submissions and a great community gathering. #RL #Machinelearning #Robotics #EWRL2025

EWRL@ewrl-org.bsky.social · 2y ago

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

At the Institute of Informatics at University of Zurich we are hiring! Open position for a professorship (no rank, i.e. tenured-track, associate or full) in Responsible and Trustworthy AI! www.ifi.uzh.ch/en/departmen... Please help spread the word!

This is a very important day for Reinforcement Learning! awards.acm.org/about/2024-t...

Andrew Barto and Richard Sutton are the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning.

Andrew Barto and Richard Sutton as the recipients of the 2024 ACM A.M. Turing Award for developing the conceptual and algorithmic foundations of reinforcement learning. In a series of papers beginning...

awards.acm.org

Last week, Alizee took the stage to present our latest work on offline preference-based RL, where we combined optimism and pessimism to learn in a fully offline setting Happy to share that this work will also be present at #ICLR2025

Alizée Pace@alizeepace.bsky.social · 2y ago

Last Friday, I had the pleasure of giving an invited talk at the workshop on Reinforcement Learning in Mannheim, Germany! I presented recent work on offline preference-based reinforcement learning, aiming to make RL more practical for real-world applications like healthcare.

Last week, the MFO Oberwolfach workshop on Overparametrization, Regularization, Identifiability & Uncertainty in ML united 48 researchers for 29 talks & plenaries. Organized by two ELLIS Programs, it advanced discussions in theoretical ML. Get details: ellis.eu/news/ellis-p...

Exploring Overparametrization, Regularization, and Uncertainty in Machine Learning: Insights from the Oberwolfach Workshop

The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next generation of AI...

ellis.eu

I am not attending #NeurIPS this year, but Vinzenz Thoma and Barna Pasztor yes :) Come to chat about our recent work on "Contextual Bilevel Reinforcement Learning for Incentive Alignment" 🗓️ Thu 12 Dec 11 a.m

I will soon be opening a call for a postdoctoral position in online learning and algorithmic game theory, starting in 2025, funded by my ERC at Bocconi University. If you're interested, feel free to reach out. If you're not personally interested but know someone who might be, please let them know!

I'm deeply concerned about the current state of the review process. While being too busy "might" explain ignoring rebuttals, there's no justification for the arrogance and rudeness that crush the morale of early-stage PhD students. What are we aiming to achieve with this behavior?