Web: http://arxiv.org/abs/2011.10737

Sept. 16, 2022, 1:12 a.m. | Zilong Cheng, Yulin Li, Kai Chen, Jun Ma, Tong Heng Lee

cs.LG updates on arXiv.org arxiv.org

Iterative linear quadratic regulator (iLQR) has gained wide popularity in
addressing trajectory optimization problems with nonlinear system models.
However, as a model-based shooting method, it relies heavily on an accurate
system model to update the optimal control actions and the trajectory
determined with forward integration, thus becoming vulnerable to inevitable
model inaccuracies. Recently, substantial research efforts in learning-based
methods for optimal control problems have been progressing significantly in
addressing unknown system models, particularly when the system has complex
interactions with …

arxiv optimization

More from arxiv.org / cs.LG updates on arXiv.org

Postdoctoral Fellow: ML for autonomous materials discovery

@ Lawrence Berkeley National Lab | Berkeley, CA

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Senior Data Engineer

@ HealthVerity | United States

Data Analyst - Business Insights

@ Sertis | Bangkok

Biomarker Data Management Specialist

@ Precision Medicine Group | Remote, United States