Szot, Andrew

Habitat 2.0: Training home assistants to rearrange their habitat

Szot, A., Clegg, A., Undersander, E., Wijmans, E., Zhao, Y., Turner, J., Maestre, N., Mukadam, M., Chaplot, D., Maksymets, O., et al. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 143

Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots

Puig, X., Undersander, E., Szot, A., Cote, M. D., Yang, T.-Y., Partsey, R., Desai, R., Clegg, A. W., Hlavac, M., Min, S. Y., et al. (2023) · arXiv

Robot Manipulation and LearningSocial Robot Interaction and HRI

Cited by 15

Generalization to New Actions in Reinforcement Learning

Jain, A., Szot, A., & Lim, J. J. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 14

Large Language Models as Generalizable Policies for Embodied Tasks

Szot, A., Schwarzer, M., Agrawal, H., Mazoure, B., Talbott, W., Metcalf, K., Mackraz, N., Hjelm, D., & Toshev, A. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 14

Adaptive Coordination in Social Embodied Rearrangement

Szot, A., Jain, U., Batra, D., Kira, Z., Desai, R., & Rai, A. (2023) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 8

Scaling Synthetic Task Generation for Agents via Exploration

Ramrakhya, R., Szot, A., Attia, O., Yang, Y., Nguyen, A., Mazoure, B., Gan, Z., Agrawal, H., & Toshev, A. (2025) · arXiv

Speech and dialogue systemsMultimodal Machine Learning Applications

Cited by 0