Cooperative Deep Reinforcement Learning For Traffic Signal Control

May 31, 2026
Topic Brief: Presented at the 2021 AI for Urban Mobility Workshop, co-located with AAAI Guilherme Varela, Pedro ... Authors: Hua Wei (The Pennsylvania State University);Chacha Chen (Shanghai Jiao Tong University);Guanjie Zheng (The ...

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Presented at the 2021 AI for Urban Mobility Workshop, co-located with AAAI Guilherme Varela, Pedro ... Author: Mengqi Liu, Beijing University of Post and Telecomunications More on KDD2017 Conference ...

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  • Presented at the 2021 AI for Urban Mobility Workshop, co-located with AAAI Guilherme Varela, Pedro ...
  • Author: Mengqi Liu, Beijing University of Post and Telecomunications More on KDD2017 Conference ...
  • Authors: Hua Wei (The Pennsylvania State University);Chacha Chen (Shanghai Jiao Tong University);Guanjie Zheng (The ...

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Cooperative Deep Reinforcement Learning for Traffic Signal Control
PressLight: Learning Max Pressure Control for Signalized Intersections in Arterial Network
AI4UM-21: A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control
Demo of CoTV (Cooperative Control for Traffic Light Signals and CAVs Using DRL)
【Review02】Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks
Multiagent Reinforcement Learning for traffic light signal control
Inotek(2022)-Deep Reinforcement Learning for smart traffic junctions timing and signaling
Deep Reinforcement Learning Traffic Signal Control Simulation
Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control
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Cooperative Deep Reinforcement Learning for Traffic Signal Control

Cooperative Deep Reinforcement Learning for Traffic Signal Control

Author: Mengqi Liu, Beijing University of Post and Telecomunications More on KDD2017 Conference ...

PressLight: Learning Max Pressure Control for Signalized Intersections in Arterial Network

PressLight: Learning Max Pressure Control for Signalized Intersections in Arterial Network

Authors: Hua Wei (The Pennsylvania State University);Chacha Chen (Shanghai Jiao Tong University);Guanjie Zheng (The ...

AI4UM-21: A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers

AI4UM-21: A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers

Presented at the 2021 AI for Urban Mobility Workshop, co-located with AAAI Guilherme Varela, Pedro ...

Back to Basics: Deep Reinforcement Learning in Traffic Signal Control

Back to Basics: Deep Reinforcement Learning in Traffic Signal Control

Back to Basics: Deep Reinforcement Learning in Traffic Signal Control

Demo of CoTV (Cooperative Control for Traffic Light Signals and CAVs Using DRL)

Demo of CoTV (Cooperative Control for Traffic Light Signals and CAVs Using DRL)

Read more details and related context about Demo of CoTV (Cooperative Control for Traffic Light Signals and CAVs Using DRL).

【Review02】Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks

【Review02】Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks

Read more details and related context about 【Review02】Deep Reinforcement Learning for Traffic Light Control in Vehicular Networks.

Multiagent Reinforcement Learning for traffic light signal control

Multiagent Reinforcement Learning for traffic light signal control

Read more details and related context about Multiagent Reinforcement Learning for traffic light signal control.

Inotek(2022)-Deep Reinforcement Learning for smart traffic junctions timing and signaling

Inotek(2022)-Deep Reinforcement Learning for smart traffic junctions timing and signaling

Read more details and related context about Inotek(2022)-Deep Reinforcement Learning for smart traffic junctions timing and signaling.

Deep Reinforcement Learning Traffic Signal Control Simulation

Deep Reinforcement Learning Traffic Signal Control Simulation

Read more details and related context about Deep Reinforcement Learning Traffic Signal Control Simulation.

Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control

Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control

Read more details and related context about Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control.