Unity: A General Platform for Intelligent Agents. - Arthur Juliani; Vincent-Pierre Berges; Esh Vckay; Yuan Gao; Hunter Henry; Marwan Mattar; Danny Lange (CoRR, 2018)

Action Spaces in Deep Reinforcement Learning to Mimic Human Input Devices. - Marco Pleines; Frank Zimmer; Vincent-Pierre Berges (CoG, 2019)

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning. - Arthur Juliani; Ahmed Khalifa 001; Vincent-Pierre Berges; Jonathan Harper; Ervin Teng; Hunter Henry; Adam Crespi; Julian Togelius; Danny Lange (IJCAI, 2019)

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning. - Arthur Juliani; Ahmed Khalifa 001; Vincent-Pierre Berges; Jonathan Harper; Hunter Henry; Adam Crespi; Julian Togelius; Danny Lange (CoRR, 2019)

On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning. - Andrew Cohen; Ervin Teng; Vincent-Pierre Berges; Ruo-Ping Dong; Hunter Henry; Marwan Mattar; Alexander Zook; Sujoy Ganguly (CoRR, 2021)

Offline Visual Representation Learning for Embodied Navigation. - Karmesh Yadav; Ram Ramrakhya; Arjun Majumdar; Vincent-Pierre Berges; Sachit Kuhar; Dhruv Batra; Alexei Baevski; Oleksandr Maksymets (CoRR, 2022)

Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. - Vincent-Pierre Berges; Andrew Szot; Devendra Singh Chaplot; Aaron Gokaslan; Roozbeh Mottaghi; Dhruv Batra; Eric Undersander (CVPR, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - Arjun Majumdar; Karmesh Yadav; Sergio Arnaud; Yecheng Jason Ma; Claire Chen; Sneha Silwal; Aryan Jain; Vincent-Pierre Berges; Tingfan Wu; Jay Vakil; Pieter Abbeel; Jitendra Malik; et al. (NeurIPS, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - Arjun Majumdar; Karmesh Yadav; Sergio Arnaud; Yecheng Jason Ma; Claire Chen; Sneha Silwal; Aryan Jain; Vincent-Pierre Berges; Pieter Abbeel; Jitendra Malik; Dhruv Batra; Yixin Lin; et al. (CoRR, 2023)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. - Xavier Puig; Eric Undersander; Andrew Szot; Mikael Dallaire Cote; Tsung-Yen Yang; Ruslan Partsey; Ruta Desai; Alexander Clegg; Michal Hlavac; So Yeon Min; Vladimir Vondrus; Théophile Gervet; et al. (ICLR, 2024)

What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? - Sneha Silwal; Karmesh Yadav; Tingfan Wu; Jay Vakil; Arjun Majumdar; Sergio Arnaud; Claire Chen; Vincent-Pierre Berges; Dhruv Batra; Aravind Rajeswaran; Mrinal Kalakrishnan; Franziska Meier; et al. (ICRA, 2024)

Memory Layers at Scale. - Vincent-Pierre Berges; Barlas Oguz; Daniel Haziza; Wen-tau Yih; Luke Zettlemoyer; Gargi Ghosh (CoRR, 2024)

LIFT-GS: Cross-Scene Render-Supervised Distillation for 3D Language Grounding. - Ang Cao; Sergio Arnaud; Oleksandr Maksymets; Jianing Yang; Ayush Jain; Sriram Yenamandra; Ada Martin; Vincent-Pierre Berges; Paul McVay; Ruslan Partsey; Aravind Rajeswaran; Franziska Meier; et al. (CoRR, 2025)

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. - Sergio Arnaud; Paul McVay; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax; Vincent-Pierre Berges; Mikael Henaff; et al. (CoRR, 2025)

Learning to Reason for Factuality. - Xilun Chen 002; Ilia Kulikov; Vincent-Pierre Berges; Barlas Oguz; Rulin Shao; Gargi Ghosh; Jason Weston; Wen-tau Yih (CoRR, 2025)

Learning Facts at Scale with Active Reading. - Jessy Lin; Vincent-Pierre Berges; Xilun Chen; Wen-Tau Yih; Gargi Ghosh; Barlas Oguz (CoRR, 2025)