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Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning.

Z. Wu, Y. Xie, W. Lian, C. Wang, Y. Guo, J. Chen, S. Schaal, and M. Tomizuka. ICRA, page 7169-7175. IEEE, (2023)

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Quadric Representations for LiDAR Odometry, Mapping and Localization.C. Xia, C. Xu, P. Rim, M. Ding, N. Zheng, K. Keutzer, M. Tomizuka, and W. Zhan. IEEE Robotics Autom. Lett., 8 (8): 5023-5030 (2023)Approximated Modeling and Optimal Design for a Soft Pneumatic Actuator Considering the Force/Torque and System Controllability.W. Yang, B. Kurkcu, and M. Tomizuka. CoRR, (2023)Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios.R. Tian, A. Li, M. Tomizuka, and L. Sun. CoRR, (2021)Sparse R-CNN: End-to-End Object Detection with Learnable Proposals.P. Sun, R. Zhang, Y. Jiang, T. Kong, C. Xu, W. Zhan, M. Tomizuka, L. Li, Z. Yuan, C. Wang and 1 other author(s). CoRR, (2020)Generalizable Long-Horizon Manipulations with Large Language Models.H. Zhou, M. Ding, W. Peng, M. Tomizuka, L. Shao, and C. Gan. CoRR, (2023)Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss.X. Zhu, Y. Zhou, Y. Fan, L. Sun, J. Chen, and M. Tomizuka. ICRA, page 721-727. IEEE, (2022)Cross Domain Robot Imitation with Invariant Representation.Z. Yin, L. Sun, H. Ma, M. Tomizuka, and W. Li. ICRA, page 455-461. IEEE, (2022)Robust Adaptive Constrained Motion and Force Control of Manipulators with Guaranteed Transient Performance.B. Yao, and M. Tomizuka. ICRA, page 893-898. IEEE Computer Society, (1995)Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects.P. Jacobson, Y. Zhou, W. Zhan, M. Tomizuka, and M. Wu. ICRA, page 8312-8318. IEEE, (2023)End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning.J. Chen, Z. Xu, and M. Tomizuka. IROS, page 1999-2006. IEEE, (2020)

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Disambiguation of "Tomizuka, Masayoshi"

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Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning.

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Disambiguation of "Tomizuka, Masayoshi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning.

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Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning.