Improving the Robustness of Reinforcement Learning Policies With ${\mathcal {L}_{1}}$ Adaptive Control

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 01, 2022
Source ID
10.1109/lra.2022.3169309

Entities

People

  • Daniel J. Block
  • Fanxin Wang
  • Naira Hovakimyan
  • Pan Zhao
  • Yikun Cheng

Organizations

  • Air Force Office of Scientific Research
  • National Science Foundation
  • University of Illinois Urbana–Champaign

Tags

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks