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Today we had the pleasure of receiving Florent Delgrange and⁩ ⁦Raphael Avalos⁩ for exciting talks on Wasserstein Auto-Encoded MDPs and it’s application to POMDP with the Wasserstein Believer! WAE-MDP: openreview.net/pdf?id=JLLTtEd… Wasserstein Believer: openreview.net/pdf?id=V5GQVp8…

Damien ERNST Thanks a lot for receiving Florent Delgrange and me to present our research on POMDPs. We had a great time chatting with you and your team Gaspard Lambrechts , Pascal Leroy and the others! 📄arxiv.org/abs/2303.03284

Yes! Bisimulation FTW! Some papers to get you started: Bisim relations: sciencedirect.com/science/articl… Bisim metrics: arxiv.org/abs/1207.4114 Using these in deep RL: arxiv.org/abs/2106.08229

Arrived at #ICLR2024 with Florent Delgrange to present our work "The Wasserstein Believer: Learning Belief Updates for Partially Observable MDPs through Reliable Latent Space Models".

Poster session now ! We are waiting for you with Florent Delgrange at the poster 158 ! #ICLR2024

Exciting news! My paper on multi-objective reinforcement learning was accepted at AAMAS 2025! We introduce IPRO (Iterated Pareto Referent Optimisation)—a principled approach to solving multi-objective problems. 🔗 Paper: arxiv.org/abs/2402.07182 💻 Code: github.com/wilrop/ipro

Sit back, relax, and let me tell you the story of our paper in @aamasconf, by far the longest project I’ve been involved in; starting in the days of yore, just weeks before COVID hit. With F. Delange, C. Schilling, A. Lukina, A. Nowe, and G. Perez. arxiv.org/abs/2402.13785

Last week, I wrapped up my internship cohere, where I had the chance to work with fantastic people on RL for LLMs. It was an amazing 6 months, and I'm excited to share one of the outcomes: ShiQ, a Q-value based RL algorithm for fine-tuning LLMs 🚀 🧵Details in Irem Ergün's post!

RL, formal methods, and program synthesis from Florent Delgrange at SYNT CAV . What more could I ask for