| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 381* | 2023 |
| PLAS: Latent action space for offline reinforcement learning W Zhou, S Bajracharya, D Held Conference on Robot Learning, 1719-1735, 2021 | 178 | 2021 |
| Environment probing interaction policies W Zhou, L Pinto, A Gupta International Conference on Learning Representations (ICLR), 2019 | 74 | 2019 |
| Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity W Zhou, D Held Proceedings of The 6th Conference on Robot Learning 205, 150--160, 2022 | 51 | 2022 |
| Learning off-policy with online planning H Sikchi, W Zhou, D Held Conference on Robot Learning, 1622-1633, 2022 | 37 | 2022 |
| HACMan: Learning hybrid actor-critic maps for 6D non-prehensile manipulation W Zhou, B Jiang, F Yang, C Paxton, D Held arXiv preprint arXiv:2305.03942, 2023 | 20 | 2023 |
| Lyapunov barrier policy optimization H Sikchi, W Zhou, D Held NeurIPS 2020 Deep Reinforcement Learning Workshop, 2021 | 20 | 2021 |
| Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data W Zhou, S Bohez, J Humplik, A Abdolmaleki, D Rao, M Wulfmeier, ... Conference on Lifelong Learning Agents, 2022, 2022 | 7* | 2022 |
| The perfect blend: Redefining RLHF with mixture of judges T Xu, E Helenowski, KA Sankararaman, D Jin, K Peng, E Han, S Nie, ... arXiv preprint arXiv:2409.20370, 2024 | 4 | 2024 |
| Sim2Real Manipulation on Unknown Objects with Tactile-based Reinforcement Learning E Su, C Jia, Y Qin, W Zhou, A Macaluso, B Huang, X Wang arXiv preprint arXiv:2403.12170, 2024 | 3 | 2024 |
| Improving Model Factuality with Fine-grained Critique-based Evaluator Y Xie, W Zhou, P Prakash, D Jin, Y Mao, Q Fettes, A Talebzadeh, S Wang, ... arXiv preprint arXiv:2410.18359, 2024 | 1 | 2024 |
| HACMan++: Spatially-Grounded Motion Primitives for Manipulation B Jiang, Y Wu, W Zhou, C Paxton, D Held arXiv preprint arXiv:2407.08585, 2024 | 1 | 2024 |
| Self-Paced Policy Optimization with Safety Constraints F Yang, W Zhou, H Sikchi, D Held ICML 2022 Workshop on Safe Learning for Autonomous Driving, 2022 | 1 | 2022 |
| Visual Manipulation with Legs X He, C Yuan, W Zhou, R Yang, D Held, X Wang arXiv preprint arXiv:2410.11345, 2024 | | 2024 |
| Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization F Yang, W Zhou, Z Liu, D Zhao, D Held 2024 IEEE International Conference on Robotics and Automation (ICRA), 2845-2851, 2024 | | 2024 |
| Environment Generalization in Deep Reinforcement Learning W Zhou Carnegie Mellon University Pittsburgh, PA, 2019 | | 2019 |
David HeldAssociate Professor in the Robotics Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
