Geometric reinforcement learning for path planning of UAVs

Geometric reinforcement learning for path planning of UAVs

We proposed a new learning algorithm, named Geometric Reinforcement Learning (GRL), for path planning of Unmanned Aerial Vehicles (UAVs). The contributions of GRL are as: (1) GRL exploits a specific reward matrix, which is simple and efficient for path planning of multiple UAVs. The candidate points...

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Bibliographic Details
Main Authors: Zhang, Baochang, Mao, Zhili, Liu, Wan-Quan, Liu, Jianzhuang
Format: Journal Article
Published: Springer Netherlands 2013
Online Access:http://hdl.handle.net/20.500.11937/13448

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