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ORCIDJoey Hejna
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2024
[i13]Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. CoRR abs/2403.12945 (2024)- [i12]Rafael Rafailov, Joey Hejna, Ryan Park, Chelsea Finn:
From r to Q*: Your Language Model is Secretly a Q-Function. CoRR abs/2404.12358 (2024) - [i11]Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, Sergey Levine:
Octo: An Open-Source Generalist Robot Policy. CoRR abs/2405.12213 (2024) - [i10]Omar Shaikh, Michelle S. Lam, Joey Hejna, Yijia Shao, Michael S. Bernstein, Diyi Yang:
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. CoRR abs/2406.00888 (2024) - [i9]Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum:
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms. CoRR abs/2406.02900 (2024) - 2023
- [c7]Joey Hejna, Pieter Abbeel, Lerrel Pinto:
Improving Long-Horizon Imitation through Instruction Prediction. AAAI 2023: 7857-7865 - [c6]Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon:
Extreme Q-Learning: MaxEnt RL without Entropy. ICLR 2023 - [c5]Joey Hejna, Jensen Gao, Dorsa Sadigh:
Distance Weighted Supervised Learning for Offline Interaction Data. ICML 2023: 12882-12906 - [c4]Joey Hejna, Dorsa Sadigh:
Inverse Preference Learning: Preference-based RL without a Reward Function. NeurIPS 2023 - [i8]Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon:
Extreme Q-Learning: MaxEnt RL without Entropy. CoRR abs/2301.02328 (2023) - [i7]Joey Hejna, Jensen Gao, Dorsa Sadigh:
Distance Weighted Supervised Learning for Offline Interaction Data. CoRR abs/2304.13774 (2023) - [i6]Joey Hejna, Dorsa Sadigh:
Inverse Preference Learning: Preference-based RL without a Reward Function. CoRR abs/2305.15363 (2023) - [i5]Joey Hejna, Pieter Abbeel, Lerrel Pinto:
Improving Long-Horizon Imitation Through Instruction Prediction. CoRR abs/2306.12554 (2023) - [i4]Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh:
Contrastive Preference Learning: Learning from Human Feedback without RL. CoRR abs/2310.13639 (2023) - 2022
- [c3]Donald Joseph Hejna III, Dorsa Sadigh:
Few-Shot Preference Learning for Human-in-the-Loop RL. CoRL 2022: 2014-2025 - [i3]Joey Hejna, Dorsa Sadigh:
Few-Shot Preference Learning for Human-in-the-Loop RL. CoRR abs/2212.03363 (2022) - 2021
- [c2]Donald Joseph Hejna III, Pieter Abbeel, Lerrel Pinto:
Task-Agnostic Morphology Evolution. ICLR 2021 - [i2]Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto:
Task-Agnostic Morphology Evolution. CoRR abs/2102.13100 (2021) - 2020
- [c1]Donald J. Hejna III, Lerrel Pinto, Pieter Abbeel:
Hierarchically Decoupled Imitation For Morphological Transfer. ICML 2020: 4159-4171 - [i1]Donald J. Hejna III, Pieter Abbeel, Lerrel Pinto:
Hierarchically Decoupled Imitation for Morphological Transfer. CoRR abs/2003.01709 (2020)
Coauthor Index
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last updated on 2024-07-09 05:07 CEST by the dblp team
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