Reinforcement Learning Applied to a Quadrotor Guidance Law in Autonomous Flight
Author:
Affiliation:
1. Delft University of Technology
Publisher
American Institute of Aeronautics and Astronautics
Link
http://arc.aiaa.org/doi/pdf/10.2514/6.2015-1990
Reference14 articles.
1. Reinforcement Learning: An Introduction
2. AR-Drone as a Platform for Robotic Research and Education
3. The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC)
4. Multi-agent quadrotor testbed control design: integral sliding mode vs. reinforcement learning
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