Andrew Szot - RankMe

32 papers A* 11Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Expanding LLM Agent Boundaries with Strategy-Guided Exploration. CoRR Andrew Szot, Michael Kirchhof, Omar Attia, Alexander Toshev
2025	A*	`conf`	From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. CVPR Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev
2025	J	`jnl`	Scaling Synthetic Task Generation for Agents via Exploration. CoRR Ram Ramrakhya, Andrew Szot, Omar Attia, Yuhao Yang, Anh Nguyen, Bogdan Mazoure, Zhe Gan, Harsh Agrawal, Alexander Toshev
2025	J	`jnl`	UltraCUA: A Foundation Model for Computer Use Agents with Hybrid Action. CoRR Yuhao Yang, Zhen Yang, Zi-Yi Dou, Anh Nguyen, Keen You, Omar Attia, Andrew Szot, Michael Feng, Ram Ramrakhya, Alexander Toshev, Chao Huang, Yinfei Yang, Zhe Gan
2024	J	`jnl`	From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons. CoRR Andrew Szot, Bogdan Mazoure, Omar Attia, Aleksei Timofeev, Harsh Agrawal, R. Devon Hjelm, Zhe Gan, Zsolt Kira, Alexander Toshev
2024	A*	`conf`	Grounding Multimodal Large Language Models in Actions. NeurIPS Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
2024	J	`jnl`	Grounding Multimodal Large Language Models in Actions. CoRR Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev
2024	A*	`conf`	Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR 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, 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
2024	A*	`conf`	Large Language Models as Generalizable Policies for Embodied Tasks. ICLR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev
2024	J	`jnl`	ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. CoRR Ahmad Elawady, Gunjan Chhablani, Ram Ramrakhya, Karmesh Yadav, Dhruv Batra, Zsolt Kira, Andrew Szot
2024	—	`conf`	Reinforcement Learning via Auxiliary Task Distillation. ECCV (81) Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot
2024	J	`jnl`	Reinforcement Learning via Auxiliary Task Distillation. CoRR Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot
2024	J	`jnl`	Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
2023	A*	`conf`	Adaptive Coordination in Social Embodied Rearrangement. ICML Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai
2023	J	`jnl`	Adaptive Coordination in Social Embodied Rearrangement. CoRR Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai
2023	J	`jnl`	An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. ACM Trans. Graph. Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian
2023	A*	`conf`	BC-IRL: Learning Generalizable Reward Functions from Demonstrations. ICLR Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
2023	J	`jnl`	BC-IRL: Learning Generalizable Reward Functions from Demonstrations. CoRR Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier
2023	A*	`conf`	Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. CVPR Vincent-Pierre Berges, Andrew Szot, Devendra Singh Chaplot, Aaron Gokaslan, Roozbeh Mottaghi, Dhruv Batra, Eric Undersander
2023	J	`jnl`	Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. CoRR Vincent-Pierre Berges, Andrew Szot, Devendra Singh Chaplot, Aaron Gokaslan, Roozbeh Mottaghi, Dhruv Batra, Eric Undersander
2023	J	`jnl`	Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile 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
2023	J	`jnl`	Large Language Models as Generalizable Policies for Embodied Tasks. CoRR Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev
2023	A*	`conf`	Skill Transformer: A Monolithic Policy for Mobile Manipulation. ICCV Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot
2023	J	`jnl`	Skill Transformer: A Monolithic Policy for Mobile Manipulation. CoRR Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot
2022	—	`conf`	Housekeep: Tidying Virtual Households Using Commonsense Reasoning. ECCV (39) Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
2022	J	`jnl`	Housekeep: Tidying Virtual Households using Commonsense Reasoning. CoRR Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
2022	J	`jnl`	Retrospectives on the Embodied AI Workshop. CoRR Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
2021	A*	`conf`	Generalizable Imitation Learning from Observation via Inferring Goal Proximity. NeurIPS Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim
2021	A*	`conf`	Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
2021	J	`jnl`	Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
2020	A*	`conf`	Generalization to New Actions in Reinforcement Learning. ICML Ayush Jain, Andrew Szot, Joseph J. Lim
2020	J	`jnl`	Generalization to New Actions in Reinforcement Learning. CoRR Ayush Jain, Andrew Szot, Joseph J. Lim