🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Congrats to Google DeepMind’s Remi Munos, Michal Valko, & team on the Outstanding Paper Award at @ICMLConf! “Adapting to game trees in zero-sum imperfect information games” helps answer: how do you make the best move in a game w/ only partial info? Paper: openreview.net/pdf?id=O1j4uFu…

What do you get when you cross modern Machine Learning with good old-fashioned Search? An IJCAI distinguished paper award 🙂 for Levin Tree Search with Context Models: aihub.org/2023/08/23/con…

AI systems give us recommendations every day, from videos to watch to products to buy. What if they could suggest ways to cooperate? To achieve this, we trained a neural network to promote collaboration between humans in a game. Here are the results. 🧵 dpmd.ai/44CNE5n

It's back! We're accepting internship applications again! Google DeepMind Looking forward to working again with many incredible junior researchers (& engineers)! Please reach out with any questions! deepmind.com/student-resear…

I just published the story of how I created the world’s first No-Limit Holdem poker solver and made $500k by age 23 medium.com/@olegostroumov… I had to keep the story secret since 2013, but now you can read how I went from near broke to reshaping world's toughest poker games

What do haggling, debate, and convincing your kids to go to bed all have in common with Poker? With #LLMs, we map them all onto the framework of #gametheory; we then generate conversational strategies using the same methods that beat top Poker pros. arxiv.org/abs/2402.01704

Calling all #GameTheory and #MARL enthusiasts! This Friday (15 Mar) Ian Gemp will be talking about ‘Approximating Nash Equilibria via Stochastic Optimization’. Come check it out!

📢Excited for our UMD MARL talk @ Mar 26, 12:00 pm ET📢/--by Ian Gemp Ian Gemp, Research Scientist, Google DeepMind on "Approximating Nash Equilibria in Normal-Form Games" in-person: IRB-5165 virtually: sites.google.com/view/universit…… John P Dickerson UMD Center for Machine Learning #RL #AI #MultiAgentAI

Stoked to announce an Agentic Markets workshop @agenticmarkets at #ICML 2024! ICML Conference 📇 Details: sites.google.com/view/amw-2024/… ✏️ Call for papers: due May 17th 📅 Conference: July 26/27th featuring GOAT speakers like Tuomas Sandholm, Gillian Hadfield, Ian Gemp Constantinos Daskalakis

Our work on approximating Nash equilibria via stochastic optimization received an honorable mention!

Great session chaired by Carlo D'Eramo! 🤓🧑‍💻 🔹Improving Convergence and Generalization... Bo Zhao Robert M. Gower 🇺🇦 Robin Walters Rose Yu 🔹Meta Continual Learning Revisited... Y.Wu, Y.Wei, + 🔹Approximating Nash Equilibria... Ian Gemp Luke Marris +

Super cool to see our work on game theory + LLMs mentioned in Quanta magazine! Thanks Steve Nadis for covering it along with Athul and team! x.com/drimgemp/statu…

AI often struggles to give correct and coherent answers to questions, but could game theory clue these models in? Mimicking a cryptic messaging game, MIT CSAIL’s “Consensus Game” improves the reliability of language models. To do this, one part of the AI system generates

We did - Joint work with Marianna Lucia Cipolina Kun mehdi cherti LAION - no wonder this bunch led straight to Wonderland. Code: github.com/LAION-AI/AIW Homepage: marianna13.github.io/aiw/ Paper: arxiv.org/abs/2406.02061

Yet another opportunity to point out that reasoning abilities and common sense should not be confused with an ability to store and approximately retrieve many facts.

Thanks John Schultz from Google DeepMind for the wonderful talk. Mastering Board Games by External and Internal Planning with Language Models youtu.be/JyxE_GE8noc x.com/weballergy/sta…

If you're attending The AAMAS Conference 2025 and are interested in general evaluation of AI agents, you should check our tutorial on May 19th! The website is here sites.google.com/view/aamas2025…, including some draft notes! Co-organized with Marc Lanctot, Ian Gemp, and Kate Larson 1/2

The AAMAS Conference 2025 was very special for us! We had the opportunity to present a tutorial on general evaluation of AI agents, and we got a best paper award! Congrats to Marc, Kate Larson, Quentin Berthet, Ian Gemp and the rest of the team!