A Deep Deterministic Policy Gradient Learning Approach to Missile Autopilot Design
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09709815.pdf?arnumber=9709815
Reference42 articles.
1. Adaptive augmenting control design for a generic longitudinal missile autopilot
2. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor;haarnoja;Proc Int Conf Mach Learn,2018
3. Autopilot Design for Unmanned Combat Aerial Vehicles (UCAVs) via Learning-based Approach
4. Reinforcement Learning for UAV Attitude Control
5. Application of Deep Reinforcement Learning to Predict Shaft Deformation Considering Hull Deformation of Medium-Sized Oil/Chemical Tanker
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