Hierarchically Decoupled Imitation For Morphological Transfer. - Donald J. Hejna III; Lerrel Pinto; Pieter Abbeel (ICML, 2020)

Task-Agnostic Morphology Evolution. - Donald Joseph Hejna III; Pieter Abbeel; Lerrel Pinto (ICLR, 2021)

Few-Shot Preference Learning for Human-in-the-Loop RL. - Donald Joseph Hejna III; Dorsa Sadigh (CoRL, 2022)

Improving Long-Horizon Imitation through Instruction Prediction. - Joey Hejna; Pieter Abbeel; Lerrel Pinto (AAAI, 2023)

Extreme Q-Learning: MaxEnt RL without Entropy. - Divyansh Garg; Joey Hejna; Matthieu Geist; Stefano Ermon (ICLR, 2023)

Distance Weighted Supervised Learning for Offline Interaction Data. - Joey Hejna; Jensen Gao; Dorsa Sadigh (ICML, 2023)

Inverse Preference Learning: Preference-based RL without a Reward Function. - Joey Hejna; Dorsa Sadigh (NeurIPS, 2023)

Contrastive Preference Learning: Learning from Human Feedback without RL. - Joey Hejna; Rafael Rafailov; Harshit Sikchi; Chelsea Finn; Scott Niekum; W. Bradley Knox; Dorsa Sadigh (CoRR, 2023)

ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning. - Joey Hejna; Chethan Anand Bhateja; Yichen Jiang; Karl Pertsch; Dorsa Sadigh (CoRL, 2024)

So You Think You Can Scale Up Autonomous Robot Data Collection? - Suvir Mirchandani; Suneel Belkhale; Joey Hejna; Evelyn Choi; Md Sazzad Islam; Dorsa Sadigh (CoRL, 2024)

Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning. - Joey Hejna; Rafael Rafailov; Harshit Sikchi; Chelsea Finn; Scott Niekum; W. Bradley Knox; Dorsa Sadigh (ICLR, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms. - Rafael Rafailov; Yaswanth Chittepu; Ryan Park; Harshit Sikchi; Joey Hejna; W. Bradley Knox; Chelsea Finn; Scott Niekum (NeurIPS, 2024)

Octo: An Open-Source Generalist Robot Policy. - Dibya Ghosh; Homer Rich Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Charles Xu 003; Jianlan Luo; You Liang Tan; Lawrence Yunliang Chen; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

From r to Q*: Your Language Model is Secretly a Q-Function. - Rafael Rafailov; Joey Hejna; Ryan Park; Chelsea Finn (CoRR, 2024)

Octo: An Open-Source Generalist Robot Policy. - Octo Model Team; Dibya Ghosh; Homer Walke; Karl Pertsch; Kevin Black; Oier Mees; Sudeep Dasari; Joey Hejna; Tobias Kreiman; Charles Xu 003; Jianlan Luo; You Liang Tan; et al. (CoRR, 2024)

Show, Don't Tell: Aligning Language Models with Demonstrated Feedback. - Omar Shaikh; Michelle S. Lam; Joey Hejna; Yijia Shao; Michael S. Bernstein; Diyi Yang (CoRR, 2024)

Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning. - Joey Hejna; Chethan Bhateja; Yichen Jiang; Karl Pertsch; Dorsa Sadigh (CoRR, 2024)

Vision Language Models are In-Context Value Learners. - Yecheng Jason Ma; Joey Hejna; Ayzaan Wahid; Chuyuan Fu; Dhruv Shah; Jacky Liang; Zhuo Xu; Sean Kirmani; Peng Xu 010; Danny Driess; Ted Xiao; Jonathan Tompson; et al. (CoRR, 2024)

Vision Language Models are In-Context Value Learners. - Yecheng Jason Ma; Joey Hejna; Chuyuan Fu; Dhruv Shah; Jacky Liang; Zhuo Xu; Sean Kirmani; Peng Xu 010; Danny Driess; Ted Xiao; Osbert Bastani; Dinesh Jayaraman; et al. (ICLR, 2025)

Aligning Language Models with Demonstrated Feedback. - Omar Shaikh; Michelle S. Lam; Joey Hejna; Yijia Shao; Hyundong Justin Cho; Michael S. Bernstein; Diyi Yang (ICLR, 2025)

Efficiently Generating Expressive Quadruped Behaviors via Language-Guided Preference Learning. - Jaden Clark; Joey Hejna; Dorsa Sadigh (CoRR, 2025)

Robot Data Curation with Mutual Information Estimators. - Joey Hejna; Suvir Mirchandani; Ashwin Balakrishna; Annie Xie; Ayzaan Wahid; Jonathan Tompson; Pannag Sanketi; Dhruv Shah; Coline Devin; Dorsa Sadigh (CoRR, 2025)

MotIF: Motion Instruction Fine-Tuning. - Minyoung Hwang; Joey Hejna; Dorsa Sadigh; Yonatan Bisk (IEEE Robotics Autom. Lett., 2025)

Scaffolding Dexterous Manipulation with Vision-Language Models. - Vincent de Bakker; Joey Hejna; Tyler Ga Wei Lum; Onur Celik; Aleksandar Taranovic; Denis Blessing; Gerhard Neumann; Jeannette Bohg; Dorsa Sadigh (CoRR, 2025)