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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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/78444 |