Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger. - Gabriel Synnaeve; Zeming Lin; Jonas Gehring; Daniel Gant; Vegard Mella; Vasil Khalidov; Nicolas Carion; Nicolas Usunier (NeurIPS, 2018)

High-Level Strategy Selection under Partial Observability in StarCraft: Brood War. - Jonas Gehring; Da Ju; Vegard Mella; Daniel Gant; Nicolas Usunier; Gabriel Synnaeve (CoRR, 2018)

Polygames: Improved zero learning. - Tristan Cazenave; Yen-Chi Chen; Guan-Wei Chen; Shi-Yu Chen; Xian-Dong Chiu; Julien Dehos; Maria Elsa; Qucheng Gong; Hengyuan Hu; Vasil Khalidov; Cheng-Ling Li; Hsin-I Lin; et al. (J. Int. Comput. Games Assoc., 2020)

Insights From the NeurIPS 2021 NetHack Challenge. - Eric Hambro; Sharada P. Mohanty; Dmitrii Babaev; Minwoo Byeon; Dipam Chakraborty; Edward Grefenstette; Minqi Jiang; DaeJin Jo; Anssi Kanervisto; Jongmin Kim 006; Sungwoong Kim; Robert Kirk; et al. (NeurIPS (Competition and Demos), 2021)

Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants. - Dennis J. N. J. Soemers; Vegard Mella; Éric Piette; Matthew Stephenson; Cameron Browne; Olivier Teytaud (CoRR, 2021)

Deep learning for general game playing with Ludii and Polygames. - Dennis J. N. J. Soemers; Vegard Mella; Cameron Browne; Olivier Teytaud (J. Int. Comput. Games Assoc., 2021)

Dungeons and Data: A Large-Scale NetHack Dataset. - Eric Hambro; Roberta Raileanu; Danielle Rothermel; Vegard Mella; Tim Rocktäschel; Heinrich Küttler; Naila Murray (NeurIPS, 2022)

Towards a General Transfer Approach for Policy-Value Networks. - Dennis J. N. J. Soemers; Vegard Mella; Éric Piette; Matthew Stephenson; Cameron Browne; Olivier Teytaud (Trans. Mach. Learn. Res., 2023)

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning. - Jonas Gehring; Kunhao Zheng; Jade Copet; Vegard Mella; Taco Cohen; Gabriel Synnaeve (CoRR, 2024)