From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning. - Violet Xiang; Logan Cross; Jan-Philipp Fränken; Nick Haber (CoRR, 2023)

FactorSim: Generative Simulation via Factorized Representation. - Fan-Yun Sun; S. I. Harini; Angela Yi; Yihan Zhou; Alex Zook; Jonathan Tremblay; Logan Cross; Jiajun Wu 001; Nick Haber (NeurIPS, 2024)

Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models. - Logan Cross; Violet Xiang; Agam Bhatia; Daniel L. K. Yamins; Nick Haber (ICLR, 2025)

Multi-Actor Generative Artificial Intelligence as a Game Engine. - Alexander Sasha Vezhnevets; Jayd Matyas; Logan Cross; Davide Paglieri; Minsuk Chang; William A. Cunningham; Simon Osindero; William S. Isaac; Joel Z. Leibo (CoRR, 2025)