Could you add me as well?
04.09.2025 06:28 — 👍 1 🔁 0 💬 1 📌 0
Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment
The BAIR Blog
Getting 15% energy savings by converting just 4% of vehicles to be autonomous, a field deployment: bair.berkeley.edu/blog/2025/03...
28.03.2025 00:33 — 👍 17 🔁 2 💬 1 📌 1
You cannot unsee it once you notice it
26.03.2025 10:11 — 👍 0 🔁 0 💬 0 📌 0
looks really neat! what software do you use for illustrations?
29.12.2024 15:14 — 👍 0 🔁 0 💬 0 📌 0
I think a primer on “choosing research problems” would be super helpful
10.12.2024 22:35 — 👍 1 🔁 0 💬 0 📌 0
AI, RL, and ML researcher. Interested in hard problems which have the potential to improve the world. Currently Postdocing at University of Calgary looking for hard problems in power systems research. Previously @modl.ai @ualberta @borealis.ai @huawei.
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
PhD student in Machine learning @ Donders Institute Nijmegen | Probabilistic Machine Learning, Control, Reinforcement Learning.
davidleeftink.github.io
EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @neuripsconf.bsky.social
eurips.cc
Assistant Professor at the Department of Computer Science, University of Liverpool.
https://lutzoe.github.io/
PhD candidate at Hybrid Intelligence Centre, @UniLeiden & @TUDelft | Multi-Agent Systems, RL, Algorithm Configuration, Negotiation | MSc in CS from @TUDelft
bramrenting.nl
Gemini Thinking @ Google DeepMind. Previously @ Google Brain. Previously @ DeepMind. Intelligent Agents
Assistant Professor at Maastricht University.
Research interests: AI, RL, games. Tic-Tac-Toe aficionado. Opinions my own, but should be everyone's.
Anon feedback: admonymous.co/dennis-soemers
PhD student at @istecnico.bsky.social working on sequential decision-making and reinforcement learning.
https://ppsantos.github.io/
RL + LLM @ai2.bsky.social; main dev of https://cleanrl.dev/
PhD Candidate at Cambridge | ex Meta, Amazon | Studying diversity in multi-agent and multi-robot learning
https://matteobettini.com/
Reinforcement learning researcher, dabbled in robotics, and generative techniques that were later made out of date by diffusion. Currently at Sony AI, working on game AI
Assistant professor at Princeton CS working on reinforcement learning and AI/ML.
Site: https://ben-eysenbach.github.io/
Lab: https://princeton-rl.github.io/
PhD candidate at UCSD. Prev: NVIDIA, Meta AI, UC Berkeley, DTU. I like robots 🤖, plants 🪴, and they/them pronouns 🏳️🌈
https://www.nicklashansen.com
PhD / PostDoc in Reinforcement Learning, AutoRL at the University of Freiburg.
First author of MDP Playground.
Opinions posted here are my own.
Head of the Computer Vision lab; TU Delft.
- Fundamental empirical Deep Learning research
- Visual inductive priors for data efficiency
Web: https://jvgemert.github.io/
PhD student at NYU | Building human-like agents | https://www.daphne-cornelisse.com/
PhD candidate @utoronto.ca and @vectorinstitute.ai | Soon: Postdoc @princetoncitp.bsky.social | Reliable, safe, trustworthy machine learning.
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
