Unmanned ground vehicle indoor navigation based on deep reinforcement learning

This dissertation aims to provide the methods of using Deep Reinforcement learning algorithm to train the UGV in simulation such that the trained UGV can reach a random target position and avoid the obstacles without any prior knowledge and model of environment. First, the basis of reinforcement...

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Bibliographic Details
Main Author: Deng, Yueci
Other Authors: Wang Dan Wei
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78444
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Institution: Nanyang Technological University
Language: English

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