| Planning with spatial-temporal abstraction from point clouds for deformable object manipulation X Lin, C Qi, Y Zhang, Z Huang, K Fragkiadaki, Y Li, C Gan, D Held Conference on Robot Learning (CoRL), 2022, 2022 | 48 | 2022 |
| Learning closed-loop dough manipulation using a differentiable reset module C Qi, X Lin, D Held IEEE Robotics and Automation Letters 7 (4), 9857-9864, 2022 | 25 | 2022 |
| Robot air hockey: A manipulation testbed for robot learning with reinforcement learning C Chuck, C Qi, MJ Munje, S Li, M Rudolph, C Shi, S Agarwal, H Sikchi, ... ICRA Workshop Manipulation Skills, 2024, 2024 | 7 | 2024 |
| Imitating, fast and slow: Robust learning from demonstrations via decision-time planning C Qi, P Abbeel, A Grover arXiv preprint arXiv:2204.03597, 2022 | 7 | 2022 |
| Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning C Chuck, F Feng, C Qi, C Shi, S Agarwal, A Zhang, S Niekum arXiv preprint arXiv:2505.03172, 2025 | 6 | 2025 |
| Learning generalizable tool-use skills through trajectory generation C Qi, Y Wu, L Yu, H Liu, B Jiang, X Lin, D Held 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 4 | 2024 |
| EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation C Qi, D Haramati, T Daniel, A Tamar, A Zhang The Thirteenth International Conference on Learning Representations (ICLR), 2025, 2024 | 2 | 2024 |
| Towards Improving Learning from Demonstration Algorithms via MCMC Methods C Qi, E Sun, H Zhang arXiv preprint arXiv:2405.02243, 2024 | | 2024 |
Xingyu LinOpenAIVerified email at openai.com
