This Friday, we’re excited to host David Radke from Chicago Blackhawks. David will be talking about “Multiagent challenges in Team Sports Analytics”. See y’all there!
10.12.2024 01:19 — 👍 1 🔁 0 💬 0 📌 0
We’re excited to host Giorgia Ramponi from University of Zurich this week. Join us to learn about “Theory of Imitation Learning: from single to multi-agent systems”. See you all there!
21.11.2024 21:40 — 👍 10 🔁 2 💬 1 📌 0
Currently LLM agents at META.
AI researcher in Reinforcement Learning, LLMs and Cultural Heritage.
https://lcipolina.github.io/
AI & Transportation | MIT Associate Professor
Interests: AI for good, sociotechnical systems, machine learning, optimization, reinforcement learning, public policy, gov tech, open science.
Science is messy and beautiful.
http://www.wucathy.com
PhD Candidate at Cambridge | ex Meta, Amazon | Studying diversity in multi-agent and multi-robot learning
https://matteobettini.com/
AI researcher, Cooperative AI, AI for Social Good, Multi Agent Systems, Game Theory, Evolutionary Biology.
Opinions are my own.
CS PhD @Harvard w/ Finale Doshi-Velez | Research in {Reinforcement Learning | Healthcare | Representation Learning}
🌐 https://abhishekshar.com/
Fine-tuning LLMs @Cohere | PhD Candidate on RL @VUB
Incoming PhD Student @ Cambridge | RL + Robotics
https://max-tamborski.github.io
PhD student at @cmurobotics.bsky.social working on interactive algorithms for agentic alignment (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
Research Scientist, Entrepreneur - Ex: Team Lead @ DeepMind and
@GoogleDeepMind. Also CS professor (Liverpool/Leuven) and LFC fan.
Economist and legal scholar turned AI researcher focused on AI alignment and governance. Prof of government and policy and computer science at Johns Hopkins where I run the Normativity Lab. Recruiting CS postdocs and PhD students. gillianhadfield.org
Associate Professor at Northeastern University and father of 3. Interests include artificial intelligence, reinforcement learning, and robotics (he/him).
Assistant Professor at UW and Staff Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
PhD Student in Machine Learning at CMU.
🐦 twitter.com/steph_milani
🌐 stephmilani.github.io
Research Scientist @ Google DeepMind. Previously Meta (FAIR), Reddit, PhD UCL, MSc Oxford. samvelyan.com
Assoc Prof @UWaterloo
See you at #neurips24
Research:
#ArtificialIntelligence #MachineLearning #ReinforcementLearning
#casual-learning, dimensionality reduction, #ethicalAI #aimorality #aialignment
Domains: wildfires, driving, medical, video games
I can be described as a multi-agent artificial general intelligence.
OK, so some people pointed out that I am not in fact artificial, contradicting my bio. To them I would reply that I am likely also a cognitive gadget.
www.jzleibo.com
RL researcher at DeepMind
https://schaul.site44.com/ 🇱🇺
