1 code implementation • L4DC 2020 • Ying-Ying Li, Yujie Tang, Runyu Zhang, Na Li
We propose a Zero-Order Distributed Policy Optimization algorithm (ZODPO) that learns linear local controllers in a distributed fashion, leveraging the ideas of policy gradient, zero-order optimization and consensus algorithms.
1 code implementation • NeurIPS 2019 • Ying-Ying Li, Xin Chen, Na Li
In addition, we provide a fundamental limit of the dynamic regret for any online algorithms by considering linear quadratic tracking problems.
Optimization and Control
no code implementations • 26 Jul 2018 • Jan Hajer, Ying-Ying Li, Tao Liu, He Wang
Complementary to supervised learning, it allows to analyze data model-independently.