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A Deep Reinforcement Learning Approach for Fair Traffic Signal Control

A Deep Reinforcement Learning Approach for Fair Traffic Signal Control

Majid Raeis
A. Leon-Garcia
ArXiv (abs)PDFHTML

Papers citing "A Deep Reinforcement Learning Approach for Fair Traffic Signal Control"

5 / 5 papers shown
Title
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
Anirudh Satheesh
Keenan Powell
84
0
0
30 Mar 2025
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking
Igor G. Smit
Zaharah Bukhsh
Mykola Pechenizkiy
Kostas Alogariastos
Kasper Hendriks
Yingqian Zhang
63
0
0
09 Apr 2024
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment
Traffic Shaping and Hysteresis Mitigation Using Deep Reinforcement Learning in a Connected Driving Environment
R. Ammourah
Alireza Talebpour
23
0
0
06 Feb 2023
LibSignal: An Open Library for Traffic Signal Control
LibSignal: An Open Library for Traffic Signal Control
Hao Mei
Xiaoliang Lei
Longchao Da
Bin Shi
Hua Wei
AI4TS
73
24
0
19 Nov 2022
Survey on Fair Reinforcement Learning: Theory and Practice
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane
A. Saxena
M. Tavakol
George Fletcher
Mykola Pechenizkiy
FaMLOffRL
99
15
0
20 May 2022