Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents. - Jane Wang 001; Michael King; Nicolas Porcel; Zeb Kurth-Nelson; Tina Zhu; Charles Deck; Peter Choy; Mary Cassin; Malcolm Reynolds; H. Francis Song; Gavin Buttimore; David P. Reichert; et al. (NeurIPS Datasets and Benchmarks, 2021)

Alchemy: A structured task distribution for meta-reinforcement learning. - Jane X. Wang; Michael King; Nicolas Porcel; Zeb Kurth-Nelson; Tina Zhu; Charlie Deck; Peter Choy; Mary Cassin; Malcolm Reynolds; H. Francis Song; Gavin Buttimore; David P. Reichert; et al. (CoRR, 2021)

Competition-Level Code Generation with AlphaCode. - Yujia Li 001; David H. Choi; Junyoung Chung; Nate Kushman; Julian Schrittwieser; Rémi Leblond; Tom Eccles; James Keeling; Felix Gimeno; Agustin Dal Lago; Thomas Hubert; Peter Choy; et al. (CoRR, 2022)

Resolving Code Review Comments with Machine Learning. - Alexander Frömmgen; Jacob Austin; Peter Choy; Nimesh Ghelani; Lera Kharatyan; Gabriela Surita; Elena Khrapko; Pascal Lamblin; Pierre-Antoine Manzagol; Marcus Revaj; Maxim Tabachnyk; Daniel Tarlow; et al. (ICSE-SEIP, 2024)

CodeGemma: Open Code Models Based on Gemma. - Heri Zhao; Jeffrey Hui; Joshua Howland; Nam Nguyen; Siqi Zuo; Andrea Hu; Christopher A. Choquette-Choo; Jingyue Shen; Joe Kelley; Kshitij Bansal; Luke Vilnis; Mateo Wirth; et al. (CoRR, 2024)