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Joey Hejna
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Octo: An open-source generalist robot policy
OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ...
Proceedings of Robotics: Science and Systems, Delft, Netherlands, 2023
182*2023
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024
942024
Few-Shot Preference Learning for Human-in-the-Loop RL
J Hejna, D Sadigh
6th Annual Conference on Robot Learning, 2022
822022
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ...
arXiv preprint arXiv:2403.12945, 2024
792024
Extreme Q-Learning: MaxEnt RL without Entropy
D Garg, J Hejna, M Geist, S Ermon
International Conference on Learning Representations, 2023
672023
From to : Your Language Model is Secretly a Q-Function
R Rafailov, J Hejna, R Park, C Finn
arXiv preprint arXiv:2404.12358, 2024
572024
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
J Hejna, R Rafailov, H Sikchi, C Finn, S Niekum, WB Knox, D Sadigh
The Twelfth International Conference on Learning Representations, 2023
48*2023
Hierarchically decoupled imitation for morphological transfer
D Hejna, L Pinto, P Abbeel
International Conference on Machine Learning, 4159-4171, 2020
472020
Inverse preference learning: Preference-based rl without a reward function
J Hejna, D Sadigh
Advances in Neural Information Processing Systems 36, 2024
382024
Task-agnostic morphology evolution
DJ Hejna III, P Abbeel, L Pinto
International Conference on Learning Representations 2021, 2021
272021
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
R Rafailov, Y Chittepu, R Park, H Sikchi, J Hejna, B Knox, C Finn, ...
arXiv preprint arXiv:2406.02900, 2024
212024
Distance Weighted Supervised Learning for Offline Interaction Data
J Hejna, J Gao, D Sadigh
International Conference on Machine Learning, 2023
122023
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback
O Shaikh, M Lam, J Hejna, Y Shao, M Bernstein, D Yang
arXiv preprint arXiv:2406.00888, 2024
82024
Improving Long-Horizon Imitation through Instruction Prediction
J Hejna, P Abbeel, L Pinto
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 7857-7865, 2023
52023
Improving Latent Representations via Explicit Disentanglement
J Hejna, A Vangipuram, K Liu
32020
Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning
J Hejna, C Bhateja, Y Jian, K Pertsch, D Sadigh
arXiv preprint arXiv:2408.14037, 2024
12024
Vision Language Models are In-Context Value Learners
YJ Ma, J Hejna, A Wahid, C Fu, D Shah, J Liang, Z Xu, S Kirmani, P Xu, ...
arXiv preprint arXiv:2411.04549, 2024
2024
MotIF: Motion Instruction Fine-tuning
M Hwang, J Hejna, D Sadigh, Y Bisk
arXiv preprint arXiv:2409.10683, 2024
2024
So You Think You Can Scale Up Autonomous Robot Data Collection?
S Mirchandani, S Belkhale, J Hejna, E Choi, MS Islam, D Sadigh
8th Annual Conference on Robot Learning, 0
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