Web: http://arxiv.org/abs/2209.06427

Sept. 15, 2022, 1:11 a.m. | Ruida Xie, Andrew G. Dempster

cs.LG updates on arXiv.org arxiv.org

Deep learning-based techniques have been introduced into the field of
trajectory optimization in recent years. Deep Neural Networks (DNNs) are
trained and used as the surrogates of conventional optimization process. They
can provide low thrust (LT) transfer cost estimation and enable more complex
preliminary mission designs. However, it is a challenge to efficiently obtain
the required amount of trajectory data for training. A Generative Adversarial
Network (GAN) is adapted to generate the feasible LT trajectory data
efficiently. The GAN consists …

arxiv data generative adversarial network network

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

Computational Linguist

@ Constant Contact | Waterloo, ON/Hybrid, ON

Senior Data Scientist

@ Advian | Espoo, Finland

Data Scientist, EU In-stock Management

@ Gopuff | London, England