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[HTML][HTML] A survey on multi-agent reinforcement learning and its application
Multi-agent reinforcement learning (MARL) has been a rapidly evolving field. This paper
presents a comprehensive survey of MARL and its applications. We trace the historical …
presents a comprehensive survey of MARL and its applications. We trace the historical …
Multi-agent reinforcement learning for connected and automated vehicles control: Recent advancements and future prospects
Connected and automated vehicles (CAVs) are considered a potential solution for future
transportation challenges, aiming to develop systems that are efficient, safe, and …
transportation challenges, aiming to develop systems that are efficient, safe, and …
Multi-agent reinforcement learning for autonomous driving: A survey
Reinforcement Learning (RL) is a potent tool for sequential decision-making and has
achieved performance surpassing human capabilities across many challenging real-world …
achieved performance surpassing human capabilities across many challenging real-world …
Discovering latent variables for the tasks with confounders in multi-agent reinforcement learning
Efficient exploration in complex coordination tasks has been considered a challenging
problem in multi-agent reinforcement learning (MARL). It is significantly more difficult for …
problem in multi-agent reinforcement learning (MARL). It is significantly more difficult for …
A Resource Allocation Strategy in Internet of Vehicles Based on Multi-Task Federated Learning and Incentive Mechanism
J Zhang, F Huang, S Zhu, X **ao - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
With the continuous emergence of Internet of Vehicles (IoV) applications, the demand for
computational resources of many resource-intensive applications in IoV has shown an …
computational resources of many resource-intensive applications in IoV has shown an …
Improving String Stability in Cooperative Adaptive Cruise Control Through Multi-Agent Reinforcement Learning With Potential-Driven Motivation
Cooperative adaptive cruise control (CACC) is regarded as a promising technology for
achieving efficient and safe collaboration among connected and automated vehicles (CAVs) …
achieving efficient and safe collaboration among connected and automated vehicles (CAVs) …
[PDF][PDF] Journal of Automation and Intelligence
Z Ning, L **e - researchgate.net
Multi-agent reinforcement learning (MARL) has been a rapidly evolving field. This paper
presents a comprehensive survey of MARL and its applications. We trace the historical …
presents a comprehensive survey of MARL and its applications. We trace the historical …