The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022. - Ryan W. Gardner; Gino Perrotta; Anvay Shah; Shivaram Kalyanakrishnan; Kevin A. Wang; Gregory Clark; Timo Bertram; Johannes Fürnkranz; Martin Müller 003; Brady P. Garrison; Prithviraj Dasgupta; Saeid Rezaei (NeurIPS (Competition and Demos), 2021)

XDO: A Double Oracle Algorithm for Extensive-Form Games. - Stephen McAleer; John B. Lanier; Kevin A. Wang; Pierre Baldi; Roy Fox (NeurIPS, 2021)

The Second NeurIPS Tournament of Reconnaissance Blind Chess. - Gino Perrotta; Ryan W. Gardner; Corey Lowman; Mohammad Taufeeque; Nitish Tongia; Shivaram Kalyanakrishnan; Gregory Clark; Kevin Wang 003; Eitan Rothberg; Brady P. Garrison; Prithviraj Dasgupta; Callum Canavan; et al. (NeurIPS (Competition and Demos), 2021)

Anytime PSRO for Two-Player Zero-Sum Games. - Stephen McAleer; Kevin Wang 003; John B. Lanier; Marc Lanctot; Pierre Baldi; Tuomas Sandholm; Roy Fox (CoRR, 2022)

Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games. - Stephen McAleer; John B. Lanier; Kevin A. Wang; Pierre Baldi; Roy Fox; Tuomas Sandholm (CoRR, 2022)

Bayesian Opponent Modeling in Multiplayer Imperfect-Information Games. - Sam Ganzfried; Kevin A. Wang; Max Chiswick (CoRR, 2022)

Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games. - Stephen Marcus McAleer; JB Lanier; Kevin A. Wang; Pierre Baldi; Tuomas Sandholm; Roy Fox (ICLR, 2024)

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)

Lessons from the Trenches on Reproducible Evaluation of Language Models. - Stella Biderman; Hailey Schoelkopf; Lintang Sutawika; Leo Gao; Jonathan Tow; Baber Abbasi; Alham Fikri Aji; Pawan Sasanka Ammanamanchi; Sidney Black; Jordan Clive; Anthony DiPofi; Julen Etxaniz; et al. (CoRR, 2024)