Absolutely, come to the poster! Some say Riccardo's aura will be hovering around

As Transactions on Machine Learning Research (TMLR) grows in number of submissions, we are looking for more reviewers and action editors. Please sign up! Only one paper to review at a time and <= 6 per year, reviewers report greater satisfaction than reviewing for conferences!

📣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!

Walking around posters at @icmlconf.bsky.social, I was happy to see some buzz around convex RL—a topic I’ve worked on and strongly believe in. Thought I’d share a few ICML papers on this direction. Let’s dive in👇 But first… what is convex RL? 🧵 1/n

Would you trust a bandit algorithm to make decisions on your health or investments? Common exploration mechanisms are efficient but scary. In our latest work at @icmlconf.bsky.social, we reimagine bandit algorithms to get *efficient* and *interpretable* exploration. A 🧵 below 1/n

Here we have an original take on how to make the best of parallel data collection for RL. Don't miss the poster at ICML, we're curious to hear what y'all think! Kudos to the awesome students Vincenzo and @ricczamboni.bsky.social for their work under the wise supervision of Marcello.

What do we talk about when we talk about the Bellman Optimality Equation? If we think carefully, we are (implicitly) making three claims. #FoundationsOfReinforcementLearning #sneakpeek

System is so broken: - researchers write papers no one reads - reviewers don't have time to review, shamed to coauthors, use LLMs instead of reading - authors try to fool said LLMs with prompt injection - evaling researchers based on # of papers (no time to read) Dystopic.

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

Just enjoyed @mircomutti.bsky.social's seminar talk about interpretable meta-learning of contextual bandit types. The recording is available in case you missed it: youtu.be/pNos7AHGMXw

Happening today! Join us if you want to hear about our take on interpretable exploration for multi-armed bandits. If interested but cannot join, here's the arxiv arxiv.org/abs/2504.04505 Joint work with Jeongyeol, Shie, and @aviv-tamar.bsky.social

⏰⏰Theory of Interpretable AI Seminar ⏰⏰ In two weeks, April 8, Mirco Mutti will talk about "A Classification View on Meta Learning Bandits"

The right review form is: - Summary - Comment - Evaluation Curious of alternative arguments, as it looks like conferences are going in a different direction

Awesome! Have a look at this thread to see some nice multi-object manipulation results

[4/5] “A Theoretical Framework for Partially-Observed Reward States in RLHF” develops and analyzes a model for RLHF where we posit the human feedback to be generated by a stateful labeler. @mircomutti.bsky.social

If interested on our take on addressing inverse RL in large state spaces, go to meet @filippo_lazzati and @alberto_metelli in the poster session 5 #NeurIPS2024 today (paper -> arxiv.org/abs/2406.03812)

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!

Highly recommended!

This is nice brain candy for the affective computing crowd

If you're an RL researcher or RL adjacent, pipe up to make sure I've added you here! go.bsky.app/3WPHcHg

Hello there! I'm new here and interested in AI -especially reinforcement learning- and keeping up with the latest in research. I'll occasionally share updates on my work and would love to hear about yours too.