[1/6] 🧵Hi there! Our paper "Deep Incentive Design with Differentiable Equilibrium Blocks" is out now, born from my internship at Google DeepMind with @lukemarris.bsky.social and Georgios Piliouras. Thread below! Paper: arxiv.org/abs/2603.07705

Unlike board games, real-world strategic interactions are messy. Traditional game theory thus needs a boost for the age of agentic AI. Our #AAMAS2026 workshop "Strategic Engineering"(sites.google.com/view/se-aama...) in Cyprus aims to bridge the gap. Come join us to unlock truly strategic AI!

Hello all! 👋 I’m delighted to share a 🚨 new preprint 🚨: “Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms”. A paper thread! 🤩📄🧵 1/N

Hello everyone 👋 Good news! 🚨 Our Game Theory & Multiagent Systems team at Google DeepMind is hiring! 🚨 .. and we have not one, but two open positions! One Research Scientist role and one Research Engineer role. 😁 Please repost and tell anyone who might be interested! Details in thread below 👇

Our team is hiring REs (job-boards.greenhouse.io/deepmind/job...) and RSs (job-boards.greenhouse.io/deepmind/job...). Please apply if you are interested in game theory / multiagent.

Frontier models are often compared on crowdsourced user prompts - user prompts can be low-quality, biased and redundant, making "performance on average" hard to trust. Come find us at #ICLR2025 to discuss game-theoretic evaluation (shorturl.at/0QtBj)! See you in Singapore!

[🧵1/N] Thrilled to share our work "Re-evaluating Open-Ended Evaluation of Large Language Models"! 🚀 Popular LLM leaderboards (think Elo/Chatbot Arena) are useful, but are they telling the whole story? We find issues w/ redundancy & bias. 🤔 Paper @ ICLR 2025: arxiv.org/abs/2502.20170 #LLM #ICLR2025

Working at the intersection of social choice and learning algorithms? Check out the 2nd Workshop on Social Choice and Learning Algorithms (SCaLA) at @ijcai.bsky.social this summer. Submission deadline: May 9th. I attended last year at AAMAS and loved it! 👍 sites.google.com/corp/view/sc...

🥁Introducing Gemini 2.5, our most intelligent model with impressive capabilities in advanced reasoning and coding. Now integrating thinking capabilities, 2.5 Pro Experimental is our most performant Gemini model yet. It’s #1 on the LM Arena leaderboard. 🥇

Looking for a principled evaluation method for ranking of *general* agents or models, i.e. that get evaluated across a myriad of different tasks? I’m delighted to tell you about our new paper, Soft Condorcet Optimization (SCO) for Ranking of General Agents, to be presented at AAMAS 2025! 🧵 1/N

[🧵1/N] Please check out our new paper (arxiv.org/abs/2502.11645) on game-theoretic evaluation. It is the first method that results in clone-invariant ratings in N-player, general-sum interactions. Co-authors: @liusiqi.bsky.social , Ian Gemp, Georgios Piliouras, @sharky6000.bsky.social 🎉