Szot, Andrew

13 publications

CVPR 2025 From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev

NeurIPS 2024 Grounding Multimodal Large Language Models in Actions Andrew Szot, Bogdan Mazoure, Harsh Agrawal, Devon Hjelm, Zsolt Kira, Alexander Toshev

ICLR 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, Vladimír Vondruš, Theophile Gervet, Vincent-Pierre Berges, John M Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi

ICLR 2024 Large Language Models as Generalizable Policies for Embodied Tasks Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R Devon Hjelm, Alexander T Toshev

ECCV 2024 Reinforcement Learning via Auxillary Task Distillation Abhinav N Harish, Larry Heck, Josiah P Hanna, Zsolt Kira, Andrew Szot

ICML 2023 Adaptive Coordination in Social Embodied Rearrangement Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai

ICLR 2023 BC-IRL: Learning Generalizable Reward Functions from Demonstrations Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier

CVPR 2023 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

ICCV 2023 Skill Transformer: A Monolithic Policy for Mobile Manipulation Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot

ECCV 2022 Housekeep: Tidying Virtual Households Using Commonsense Reasoning Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal

NeurIPS 2021 Generalizable Imitation Learning from Observation via Inferring Goal Proximity Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim

NeurIPS 2021 Habitat 2.0: Training Home Assistants to Rearrange Their Habitat Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimír Vondruš, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra

ICML 2020 Generalization to New Actions in Reinforcement Learning Ayush Jain, Andrew Szot, Joseph Lim