Autonomous Navigation in Partially Observable Environments Using Hierarchical Q-Learning

@inproceedings{Zhou2016AutonomousNI,
  title={Autonomous Navigation in Partially Observable Environments Using Hierarchical Q-Learning},
  author={Yunshan Zhou and Erik-Jan van Kampen},
  year={2016}
}
A self-learning adaptive flight control design allows reliable and effective operation of flight vehicles in a complex environment. Reinforcement Learning provides a model-free, adaptive, and effective process for optimal control and navigation. This paper presents a new and systematic approach combining Q-learning and hierarchical reinforcement learning… CONTINUE READING