A systematic study on reinforcement learning based applications
We have analyzed 127 publications for this review paper, which discuss applications of
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
Reinforcement Learning (RL) in marketing, robotics, gaming, automated cars, natural …
A comprehensive survey on multi-agent reinforcement learning for connected and automated vehicles
Connected and automated vehicles (CAVs) require multiple tasks in their seamless
maneuverings. Some essential tasks that require simultaneous management and actions …
maneuverings. Some essential tasks that require simultaneous management and actions …
Autonomous navigation at unsignalized intersections: A coupled reinforcement learning and model predictive control approach
This paper develops an integrated safety-enhanced reinforcement learning (RL) and model
predictive control (MPC) framework for autonomous vehicles (AVs) to navigate unsignalized …
predictive control (MPC) framework for autonomous vehicles (AVs) to navigate unsignalized …
Cooperative decision-making of multiple autonomous vehicles in a connected mixed traffic environment: A coalition game-based model
M Fu, S Li, M Guo, Z Yang, Y Sun, C Qiu… - … research part C …, 2023 - Elsevier
Advances in vehicle-networking technologies have enabled vehicles to cooperate in mixed
traffic. However, realizing the cooperative decision-making of multiple connected …
traffic. However, realizing the cooperative decision-making of multiple connected …
[HTML][HTML] Dynamic adaptive vehicle re-routing strategy for traffic congestion mitigation of grid network
C Wang, T Atkison, H Park - International Journal of Transportation Science …, 2024 - Elsevier
This paper proposes a possible methodology for detecting and mitigating traffic congestion.
This method is carried out using a custom-designed traffic scenario model. The model is fully …
This method is carried out using a custom-designed traffic scenario model. The model is fully …
CVLight: Decentralized learning for adaptive traffic signal control with connected vehicles
This paper develops a decentralized reinforcement learning (RL) scheme for multi-
intersection adaptive traffic signal control (TSC), called “CVLight”, that leverages data …
intersection adaptive traffic signal control (TSC), called “CVLight”, that leverages data …
[HTML][HTML] A logic Petri net model for dynamic multi-agent game decision-making
This study proposes a logical Petri net model to leverage the modeling advantages of Petri
nets in handling batch processing and uncertainty in value passing and to integrate relevant …
nets in handling batch processing and uncertainty in value passing and to integrate relevant …
[HTML][HTML] Machine Learning in Information and Communications Technology: A Survey
The rapid growth of data and the increasing complexity of modern networks have driven the
demand for intelligent solutions in the information and communications technology (ICT) …
demand for intelligent solutions in the information and communications technology (ICT) …
Digital twin for pedestrian safety warning at a single urban traffic intersection
Ensuring the safety of Vulnerable Road Users (VRUs) at intersections is crucial to
enhancing urban traffic systems. This paper introduces a novel intelligent warning system …
enhancing urban traffic systems. This paper introduces a novel intelligent warning system …
[PDF][PDF] Learning Dual Mean Field Games on Graphs.
Reinforcement learning (RL) has been developed for mean field games over graphs (G-
MFG) in social media and network economics, in which the transition of agents between a …
MFG) in social media and network economics, in which the transition of agents between a …