The PokeAgent Challenge: Competitive and Long Context Learning at Scale

Seth Karten; Jake Grigsby; Stephanie Milani; Kiran Vodrahalli; Amy Zhang; Fei Fang; Yuke Zhu; Chi Jin

Seth Karten

I am a PhD Candidate in Computer Science at Princeton University advised by Chi Jin. My current research interests involve studying multi-agent interaction and open-ended learning at scale to enable autonomous agents in simulated civilizatons. I am interested in using foundation models (such as large language models) and reinforcement learning for decentralized decision-making that can scale individual preferences to group behavior.

✉️ Email 📄 CV 📚 Google Scholar 💬 SethGPT

GitHub

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BlueSky

News

Dec 2025

🏆 NeurIPS 2025 Competition Track: The PokeAgent Challenge is now live and sponsored by Google DeepMind! Check out the competition website.

Aug 2025

🎤 I gave a lightning talk at UC Berkeley's Agentic AI Summit unveiling PokéChamp—an expert-level minimax LLM agent that battles like a pro with zero fine-tuning—and the PokeAgent Challenge.

Jul 2025

⭐ PokéChamp received a Spotlight Award at ICML 2025!

Jun 2024

🎯 I presented a poster on The LLM Economist: Optimizing Policy in Multiagent Generative Simulations at the Cooperative AI Summer School.

May 2023

🏆 I am excited to announce that I have been awarded Princeton's Francis Robbins Upton Fellowship in Engineering!

Mar 2023

🌟 I am excited to announce that I have been awarded the National Science Foundation Graduate Research Fellowship (NSF GRFP)!

Selected Publications

Generative Simulacra