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2020 – today
- 2024
[c11]Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot:
Reinforcement Learning via Auxiliary Task Distillation. ECCV (81) 2024: 214-230- [c10]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:
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots. ICLR 2024 - [c9]Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev:
Large Language Models as Generalizable Policies for Embodied Tasks. ICLR 2024 - [i14]Andrew Szot, Bogdan Mazoure, Harsh Agrawal, R. Devon Hjelm, Zsolt Kira, Alexander Toshev:
Grounding Multimodal Large Language Models in Actions. CoRR abs/2406.07904 (2024) - [i13]Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt Kira, Andrew Szot:
Reinforcement Learning via Auxiliary Task Distillation. CoRR abs/2406.17168 (2024) - [i12]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:
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR abs/2407.06939 (2024) - [i11]Ahmad Elawady, Gunjan Chhablani, Ram Ramrakhya, Karmesh Yadav, Dhruv Batra, Zsolt Kira, Andrew Szot:
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. CoRR abs/2410.02751 (2024) - 2023
- [j1]Brennan Shacklett
, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian:
An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. ACM Trans. Graph. 42(4): 90:1-90:13 (2023) - [c8]Vincent-Pierre Berges, Andrew Szot, Devendra Singh Chaplot, Aaron Gokaslan, Roozbeh Mottaghi, Dhruv Batra, Eric Undersander:
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. CVPR 2023: 13767-13777 - [c7]Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot:
Skill Transformer: A Monolithic Policy for Mobile Manipulation. ICCV 2023: 10818-10828 - [c6]Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier:
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. ICLR 2023 - [c5]Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai:
Adaptive Coordination in Social Embodied Rearrangement. ICML 2023: 33365-33380 - [i10]Andrew Szot, Amy Zhang, Dhruv Batra, Zsolt Kira, Franziska Meier:
BC-IRL: Learning Generalizable Reward Functions from Demonstrations. CoRR abs/2303.16194 (2023) - [i9]Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai:
Adaptive Coordination in Social Embodied Rearrangement. CoRR abs/2306.00087 (2023) - [i8]Vincent-Pierre Berges, Andrew Szot, Devendra Singh Chaplot, Aaron Gokaslan, Roozbeh Mottaghi, Dhruv Batra, Eric Undersander:
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. CoRR abs/2306.07552 (2023) - [i7]Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot:
Skill Transformer: A Monolithic Policy for Mobile Manipulation. CoRR abs/2308.09873 (2023) - [i6]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:
Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots. CoRR abs/2310.13724 (2023) - [i5]Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev:
Large Language Models as Generalizable Policies for Embodied Tasks. CoRR abs/2310.17722 (2023) - 2022
- [c4]Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal:
Housekeep: Tidying Virtual Households Using Commonsense Reasoning. ECCV (39) 2022: 355-373 - [i4]Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal:
Housekeep: Tidying Virtual Households using Commonsense Reasoning. CoRR abs/2205.10712 (2022) - [i3]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:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - 2021
- [c3]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:
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS 2021: 251-266 - [c2]Youngwoon Lee, Andrew Szot, Shao-Hua Sun, Joseph J. Lim:
Generalizable Imitation Learning from Observation via Inferring Goal Proximity. NeurIPS 2021: 16118-16130 - [i2]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:
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR abs/2106.14405 (2021) - 2020
- [c1]Ayush Jain, Andrew Szot, Joseph J. Lim:
Generalization to New Actions in Reinforcement Learning. ICML 2020: 4661-4672 - [i1]Ayush Jain, Andrew Szot, Joseph J. Lim:
Generalization to New Actions in Reinforcement Learning. CoRR abs/2011.01928 (2020)
Coauthor Index
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