Traffic Signal Control: a Double Q-learning Approach
Saved in:
| Main Authors: | Anton Agafonov, Vladislav Myasnikov |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Information Processing Society
2021-09-01
|
| Series: | Annals of computer science and information systems |
| Online Access: | https://annals-csis.org/Volume_25/drp/pdf/109.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Map Matching Algorithm Based on Dynamic Programming Approach
by: Alexander Yumaganov, et al.
Published: (2020-09-01) -
Traffic signal optimization control method based on attention mechanism updated weights double deep Q network
by: Huizhen Zhang, et al.
Published: (2025-03-01) -
A reinforcement learning approach for reducing traffic congestion using deep Q learning
by: S M Masfequier Rahman Swapno, et al.
Published: (2024-12-01) -
Positive Switched System Approach to Traffic Signal Control for Oversaturated Intersection
by: Lin Du, et al.
Published: (2014-01-01) -
Adaptive Traffic Signal Control Method Based on Offline Reinforcement Learning
by: Lei Wang, et al.
Published: (2024-11-01)