| 2025 | ICLR | Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning. | Patrick Yin, Tyler Westenbroek, Ching-An Cheng, Andrey Kolobov, Abhishek Gupta |
| 2024 | ICLR | Improving Offline RL by Blending Heuristics. | Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng |
| 2024 | ICML | PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control. | Ruijie Zheng, Ching-An Cheng, Hal Daum III, Furong Huang, Andrey Kolobov |
| 2023 | CoRL | Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. | Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine |
| 2023 | CoRL | PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. | Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov |
| 2023 | ICLR | Provably Efficient Lifelong Reinforcement Learning with Linear Representation. | Sanae Amani, Lin Yang, Ching-An Cheng |
| 2023 | ICML | MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations. | Anqi Li, Byron Boots, Ching-An Cheng |
| 2023 | ICML | Provable Reset-free Reinforcement Learning by No-Regret Reduction. | Hoai-An Nguyen, Ching-An Cheng |
| 2023 | ICML | Hindsight Learning for MDPs with Exogenous Inputs. | Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo de Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan |
| 2022 | ICML | Adversarially Trained Actor Critic for Offline Reinforcement Learning. | Ching-An Cheng, Tengyang Xie, Nan Jiang, Alekh Agarwal |
| 2021 | COLT | Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation. | Andrea Zanette, Ching-An Cheng, Alekh Agarwal |
| 2021 | ICML | Safe Reinforcement Learning Using Advantage-Based Intervention. | Nolan Wagener, Byron Boots, Ching-An Cheng |
| 2021 | UAI | Explaining fast improvement in online imitation learning. | Xinyan Yan, Byron Boots, Ching-An Cheng |
| 2020 | AISTATS | A Reduction from Reinforcement Learning to No-Regret Online Learning. | Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon |
| 2020 | AISTATS | Online Learning with Continuous Variations: Dynamic Regret and Reductions. | Ching-An Cheng, Jonathan Lee, Ken Goldberg, Byron Boots |
| 2020 | ICRA | Extending Riemmanian Motion Policies to a Class of Underactuated Wheeled-Inverted-Pendulum Robots. | Bruce Wingo, Ching-An Cheng, Muhammad Ali Murtaza, Munzir Zafar, Seth Hutchinson |
| 2019 | AISTATS | Accelerating Imitation Learning with Predictive Models. | Ching-An Cheng, Xinyan Yan, Evangelos A. Theodorou, Byron Boots |
| 2019 | AISTATS | Truncated Back-propagation for Bilevel Optimization. | Amirreza Shaban, Ching-An Cheng, Nathan Hatch, Byron Boots |
| 2019 | CoRL | Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods. | Ching-An Cheng, Xinyan Yan, Byron Boots |
| 2019 | CoRL | Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. | Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff |
| 2019 | ICML | Predictor-Corrector Policy Optimization. | Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots |
| 2018 | AISTATS | Convergence of Value Aggregation for Imitation Learning. | Ching-An Cheng, Byron Boots |
| 2018 | ICRA | Optical Sensing and Control Methods for Soft Pneumatically Actuated Robotic Manipulators. | Jennifer L. Molnar, Ching-An Cheng, Lucas O. Tiziani, Byron Boots, Frank L. Hammond |
| 2018 | UAI | Fast Policy Learning through Imitation and Reinforcement. | Ching-An Cheng, Xinyan Yan, Nolan Wagener, Byron Boots |
| 2018 | WAFR | RMP | Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff |
| 2017 | ICRA | Approximately optimal continuous-time motion planning and control via Probabilistic Inference. | Mustafa Mukadam, Ching-An Cheng, Xinyan Yan, Byron Boots |
| 2013 | IROS | Self-learning assistive exoskeleton with sliding mode admittance control. | Tzu-Hao Huang, Ching-An Cheng, Han-Pang Huang |
| 2012 | IROS | Design of a new hybrid control and knee orthosis for human walking and rehabilitation. | Tzu-Hao Huang, Han-Pang Huang, Ching-An Cheng, Jiun-Yih Kuan, Po-Ting Lee, Shih-Yi Huang |