Multi-agent reinforcement learning for connected and automated vehicles control: Recent advancements and future prospects
Connected and automated vehicles (CAVs) have emerged as a potential solution to the
future challenges of developing safe, efficient, and eco-friendly transportation systems …
future challenges of developing safe, efficient, and eco-friendly transportation systems …
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 …
An introduction to multi-agent reinforcement learning and review of its application to autonomous mobility
Many scenarios in mobility and traffic involve multiple different agents that need to cooperate
to find a joint solution. Recent advances in behavioral planning use Reinforcement Learning …
to find a joint solution. Recent advances in behavioral planning use Reinforcement Learning …
[PDF][PDF] A survey on multiagent reinforcement learning applications in the internet of vehicles
The development of the Internet of Vehicles (IoV) and autonomous vehicles plays a
significant role in intelligent transportation systems (ITS) that are empowered by vehicular …
significant role in intelligent transportation systems (ITS) that are empowered by vehicular …
Multi-agent reinforcement learning for autonomous vehicles: A survey
In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …
Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges
Multiagent Reinforcement Learning (MARL) plays a pivotal role in intelligent vehicle
systems, offering solutions for complex decision-making, coordination, and adaptive …
systems, offering solutions for complex decision-making, coordination, and adaptive …
A survey on multi-agent reinforcement learning methods for vehicular networks
I Althamary, CW Huang, P Lin - 2019 15th International …, 2019 - ieeexplore.ieee.org
Under the rapid development of the Internet of Things (IoT), vehicles can be recognized as
mobile smart agents that communicating, cooperating, and competing for resources and …
mobile smart agents that communicating, cooperating, and competing for resources and …
Socially-attentive policy optimization in multi-agent self-driving system
As increasing numbers of autonomous vehicles (AVs) are being deployed, it is important to
construct a multi-agent self-driving (MASD) system for navigating traffic flows of AVs. In an …
construct a multi-agent self-driving (MASD) system for navigating traffic flows of AVs. In an …
Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors
The development of autonomous vehicles has shown great potential to enhance the
efficiency and safety of transportation systems. However, the decision-making issue in …
efficiency and safety of transportation systems. However, the decision-making issue in …
Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control
Connected and autonomous vehicles (CAVs) promise next-gen transportation systems with
enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs …
enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs …