Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference. - Liting Sun; Zheng Wu 002; Hengbo Ma; Masayoshi Tomizuka (IROS, 2020)

Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning With Application to Autonomous Driving. - Zheng Wu 002; Liting Sun; Wei Zhan; Chenyu Yang; Masayoshi Tomizuka (IEEE Robotics Autom. Lett., 2020)

Learning Dense Rewards for Contact-Rich Manipulation Tasks. - Zheng Wu 002; Wenzhao Lian; Vaibhav V. Unhelkar; Masayoshi Tomizuka; Stefan Schaal (ICRA, 2021)

Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks. - Zheng Wu 002; Wenzhao Lian; Changhao Wang; Mengxi Li; Stefan Schaal; Masayoshi Tomizuka (CoRR, 2022)

Offline-Online Learning of Deformation Model for Cable Manipulation With Graph Neural Networks. - Changhao Wang; Yuyou Zhang; Xiang Zhang 020; Zheng Wu 002; Xinghao Zhu; Shiyu Jin; Te Tang; Masayoshi Tomizuka (IEEE Robotics Autom. Lett., 2022)

Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning. - Xiang Zhang 020; Changhao Wang; Lingfeng Sun; Zheng Wu 002; Xinghao Zhu; Masayoshi Tomizuka (CoRL, 2023)

Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning. - Zheng Wu 002; Yichen Xie 002; Wenzhao Lian; Changhao Wang; Yanjiang Guo; Jianyu Chen; Stefan Schaal; Masayoshi Tomizuka (ICRA, 2023)

DBPF: A Framework for Efficient and Robust Dynamic Bin-Picking. - Yichuan Li 002; Junkai Zhao; Yixiao Li; Zheng Wu 002; Rui Cao; Masayoshi Tomizuka; Yun-Hui Liu 001 (IEEE Robotics Autom. Lett., 2024)

Efficient Reinforcement Learning of Task Planners for Robotic Palletization Through Iterative Action Masking Learning. - Zheng Wu 002; Yichuan Li 002; Wei Zhan; Changliu Liu; Yun-Hui Liu 001; Masayoshi Tomizuka (IEEE Robotics Autom. Lett., 2024)

Physics-Aware Robotic Palletization with Online Masking Inference. - Tianqi Zhang; Zheng Wu 002; Yuxin Chen; Yixiao Wang; Boyuan Liang; Scott Moura; Masayoshi Tomizuka; Mingyu Ding; Wei Zhan (CoRR, 2025)