Tag: multi-agent reinforcement learning

A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, ...

A new survey in Artificial Intelligence Review proposes a unified framework linking hybrid forecasting, explainable AI and multi-agent optimization for ...

A hierarchical multi-agent reinforcement learning algorithm coordinates network repair and resource scheduling in high-end equipment manufacturing, cutting modeled recovery costs ...

A new benchmark called MATE-Hard shows that cooperative multi-agent reinforcement learning policies lose roughly half their advantage over random behavior ...

Researchers in India have developed a cooperative multi-agent reinforcement learning routing protocol, based on the QMIX algorithm, that improves packet ...

Researchers at the University of Kashan have developed HAMRL, a hierarchical attention-based multi-agent reinforcement learning framework that lets IoT devices ...

A multi-agent reinforcement learning framework schedules tasks across a 2000-node big data cluster with 92.4 percent success and millisecond-scale latency, ...

Researchers in India have enhanced a serverless computing simulator with a realistic virtual machine layer and a multi-agent reinforcement learning ...

Researchers in China have developed RAUD-MAPPO, a role-aware and uncertainty-driven multi-agent reinforcement learning framework that raises win rates and enables ...

Researchers have combined a digital twin simulation platform with federated multi-agent reinforcement learning to optimize resource allocation across satellite, UAV, ...