DEVELOPMENT OF CNN-BASED DEEP Q-LEARNING FOR PATH PLANNING SIMULATOR
This Final Project Report examines the development of a Deep Q-learning (DQL) model based on Convolutional Neural Network (CNN) for a path planning simulator. Path planning is the process of finding an optimal collision-free route from a starting point to an endpoint in a given environment. The Q...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85048 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |