Learning to Guide: Guidance Law Based on Deep Meta-Learning and Model Predictive Path Integral Control

Learning to Guide: Guidance Law Based on Deep Meta-Learning and Model Predictive Path Integral Control

In this paper, we present a novel guidance scheme based on model-based deep reinforcement learning (RL) technique. With model-based deep RL method, a deep neural network is trained as a predictive model of guidance dynamics which is incorporated into a model predictive path integral (MPPI) control f...

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Bibliographic Details
Main Authors: Chen Liang, Weihong Wang, Zhenghua Liu, Chao Lai, Benchun Zhou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Missile guidance
model predictive control
meta-learning
deep reinforcement learning
impact angle constraint
Online Access:https://ieeexplore.ieee.org/document/8682051/

Internet

https://ieeexplore.ieee.org/document/8682051/

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