End-to-end autonomous driving based on reinforcement learning
In this project, an RGB camera will be used as data input to explore an end-to-end method based on visual based reinforcement learning. The project will be carried out with the Unity game engine as the training environment, along with Unity’s ML-Agents package that provides out of the box deep Reinf...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158264 |