| Few-Shot Preference Learning for Human-in-the-Loop RL J Hejna, D Sadigh 6th Annual Conference on Robot Learning, 2022 | 48 | 2022 |
| Extreme Q-Learning: MaxEnt RL without Entropy D Garg, J Hejna, M Geist, S Ermon International Conference on Learning Representations, 2023 | 41 | 2023 |
| Hierarchically decoupled imitation for morphological transfer D Hejna, L Pinto, P Abbeel International Conference on Machine Learning, 4159-4171, 2020 | 34 | 2020 |
| Task-agnostic morphology evolution DJ Hejna III, P Abbeel, L Pinto International Conference on Learning Representations 2021, 2021 | 22 | 2021 |
| Octo: An open-source generalist robot policy OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ... | 21 | 2023 |
| Inverse preference learning: Preference-based rl without a reward function J Hejna, D Sadigh Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| 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 | 14* | 2023 |
| Distance Weighted Supervised Learning for Offline Interaction Data J Hejna, J Gao, D Sadigh International Conference on Machine Learning, 2023 | 7 | 2023 |
| 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 | 4 | 2023 |
| Improving Latent Representations via Explicit Disentanglement J Hejna, A Vangipuram, K Liu | 2 | 2020 |
| 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 | 1 | 2024 |
