Florent Delgrange
florentdelgrange.bsky.social
Florent Delgrange
@florentdelgrange.bsky.social
postdoc @ ai lab, Vrije Universiteit Brussel
working on providing reliable and verifiable ai mechanisms
#RL & formal methods
delgrange.me
Reposted by Florent Delgrange
Mind the GAP!

we've had a few works proposing techniques for enabling scaling in deep rl, such as MoEs, tokenization, & sparse training.
ghada sokar and i looked further & found a bit more clarity into *what* enables scaling, leading us to simpler solutions (see GAP in figure)!
1/
May 26, 2025 at 4:32 PM
Reposted by Florent Delgrange
🎓 PhD position available!

Join our interdisciplinary research project on causal agent-based modelling!

🔍 Looking for curious minds with a MSc degree (or near to completing one) in CS/AI/related fields.
📍 Location: Utrecht University, NL
🗓️ Deadline: 16 June 2025
📩 Info: www.uu.nl/en/organisat...
PhD Position in Causal Agent-based Modelling of Complex Social Systems
Join this exciting interdisciplinary research project at the Centre for Complex Systems Studies and study causal agent-based modelling!
www.uu.nl
May 13, 2025 at 7:31 PM
Happy to share our new paper (AAMAS 2025)!
We combine reinforcement learning 🤖🧠 & reactive synthesis ⚙️ for learning scalable safe policies in complex tasks with formal guarantees.

📑paper: arxiv.org/abs/2402.13785
✍️blogpost: delgrange.me/post/composi...

A thread🧵⤵️
Composing Reinforcement Learning Policies, with Formal Guarantees | Florent Delgrange
Synthesizing controllers in large domains from verified world models and reinforcement learning policy composition.
delgrange.me
May 5, 2025 at 4:20 PM
Reposted by Florent Delgrange
Still 7 days to submit your work to the ALA workshop at AAMAS! We welcome full papers, work in progress, and 2-page abstracts of recently published journal papers. All the info is available at ala-workshop.github.io.
ALA 2025
ala-workshop.github.io
January 28, 2025 at 6:06 PM
Reposted by Florent Delgrange
Another must read for reinforcement learning. Answers many key questions for researchers;
-Do I need multiple training runs?
-How do I report model confidence?
-And a great section on common mistakes to fend off reviewer 2
🧪
#DRL
#reinforcementlearning
#AI
arxiv.org/abs/2304.01315
Empirical Design in Reinforcement Learning
Empirical design in reinforcement learning is no small task. Running good experiments requires attention to detail and at times significant computational resources. While compute resources available p...
arxiv.org
November 22, 2024 at 7:25 AM
Reposted by Florent Delgrange
In addition to the Deep Learning Theory starter pack, I've also put together a starter pack for Reinforcement Learning Theory. Let me know if you'd like to be included or suggest someone to add to the list!

go.bsky.app/LWyGAAu
November 22, 2024 at 9:56 PM
Reposted by Florent Delgrange
If you're an RL researcher or RL adjacent, pipe up to make sure I've added you here!
go.bsky.app/3WPHcHg
November 9, 2024 at 4:42 PM