ROBUST MULTI-AGENT PATH PLANNING ALGORITHM FOR TARGET LOCALIZATION IN AN UNKNOWN ENVIRONMENT
This study proposes a new approach to improve the robustness of the path planning algorithm based on received signal strength (RSS) by defining several variables as the state of Q-learning. Usually, there are two approaches to defining state Q-learning in RSS-based target localization problems, both...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/73149 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |