Designing a Winning Arimaa Program. - David J. Wu 002 (J. Int. Comput. Games Assoc., 2015)

Accelerating Self-Play Learning in Go. - David J. Wu 002 (CoRR, 2019)

No-Press Diplomacy from Scratch. - Anton Bakhtin; David J. Wu 002; Adam Lerer; Noam Brown (NeurIPS, 2021)

Off-Belief Learning. - Hengyuan Hu; Adam Lerer; Brandon Cui; Luis Pineda; David J. Wu 002; Noam Brown; Jakob N. Foerster (CoRR, 2021)

Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Athul Paul Jacob; David J. Wu 002; Gabriele Farina; Adam Lerer; Anton Bakhtin; Jacob Andreas; Noam Brown (CoRR, 2021)

A Fine-Tuning Approach to Belief State Modeling. - Samuel Sokota; Hengyuan Hu; David J. Wu 002; J. Zico Kolter; Jakob Nicolaus Foerster; Noam Brown (ICLR, 2022)

Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Athul Paul Jacob; David J. Wu 002; Gabriele Farina; Adam Lerer; Hengyuan Hu; Anton Bakhtin; Jacob Andreas; Noam Brown (ICML, 2022)

Self-Explaining Deviations for Coordination. - Hengyuan Hu; Samuel Sokota; David J. Wu 002; Anton Bakhtin; Andrei Lupu; Brandon Cui; Jakob N. Foerster (NeurIPS, 2022)

Human-AI Coordination via Human-Regularized Search and Learning. - Hengyuan Hu; David J. Wu 002; Adam Lerer; Jakob N. Foerster; Noam Brown (CoRR, 2022)

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. - Anton Bakhtin; David J. Wu 002; Adam Lerer; Jonathan Gray; Athul Paul Jacob; Gabriele Farina; Alexander H. Miller; Noam Brown (ICLR, 2023)

Adversarial Diversity in Hanabi. - Brandon Cui; Andrei Lupu; Samuel Sokota; Hengyuan Hu; David J. Wu 002; Jakob Nicolaus Foerster (ICLR, 2023)

Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. - Samuel Sokota; Ryan D'Orazio; Chun Kai Ling; David J. Wu 002; J. Zico Kolter; Noam Brown (ICML, 2023)

The Update-Equivalence Framework for Decision-Time Planning. - Samuel Sokota; Gabriele Farina; David J. Wu 002; Hengyuan Hu; Kevin A. Wang; J. Zico Kolter; Noam Brown (ICLR, 2024)