I'm looking to hire a student researcher to work on an exciting project for 6 months in DeepMind Montreal.

Requirements:
- Full-time masters/PhD student 🧑🏾‍🎓
- Substantial expertise in multi-agent RL, ideally including publication(s) 🤖🤖
- Strong Python coding skills 🐍

Is this you? Get in touch!

Super excited to share our paper, Simplifying Deep Temporal Difference Learning has been accepted as a spotlight at ICLR! My fab collaborator Matteo Gallici and I have written a three part blog on the work, so stay tuned for that! :)
@flair-ox.bsky.social
arxiv.org/pdf/2407.04811

NOETIX robot: 44lbs, <4 feet tall, 18 dof, Jetson on board. Starting at $5.5k. At this rate I am fairly convinced there will be robots absolutely everywhere within 5 years; although probably more form factors than just humanoids.

OpenAI has many problems, but I can think of few outcomes worse than Musk gaining control over it.

He will continue to drum up fear about rogue AI being an existential threat to justify his consolidation of power and use it to dienfranchise people.

finance.yahoo.com/news/elon-mu...

We've built a simulated driving agent that we trained on 1.6 billion km of driving with no human data.
It is SOTA on every planning benchmark we tried.
In self-play, it goes 20 years between collisions.

1. Today the NIH director issued a new directive slashing overhead rates to 15%.

I want to provide some context on what that means and why it matters.

grants.nih.gov/grants/guide...

We will be presenting this tomorrow at Neurips in the evening poster session! Come stop by to chat!

I'm excited to share that our paper, "Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance," has been accepted to NeurIPS 2024! 🎉

#NeurIPS #MARL #AI #ReinforcementLearning #MachineLearning #Equivariance #GraphNeuralNetworks