URBAN TRAFFIC NETWORK CONTROL SYSTEM USING ROBUST REINFORCEMENT LEARNING WITH RADIAL-DQN ALGORITHM
Urban traffic congestion is a problem that results in delays, pollution, and economic losses. Conventional traffic signal control methods are often ineffective in dealing with unpredictable conditions, especially in the presence of disturbances and inaccuracies in state observations. This research a...
Saved in:
| Main Author: | |
|---|---|
| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/84376 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
Be the first to leave a comment!