Tag: multi-agent reinforcement learning

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, ...

A new comprehensive survey in Cluster Computing systematically compares how deep reinforcement learning algorithms are transforming task scheduling and offloading ...

A new framework called BootDiffLights uses a conditional diffusion model to generate reward signals for decentralized traffic signal control, outperforming ...

A comprehensive review in Artificial Intelligence Review argues that reinforcement learning can overcome the static limitations of traditional recommender systems, ...

Researchers have developed H3C-BEACON, a unified multi-agent reinforcement learning framework that jointly integrates communication, Bayesian belief inference, adaptive coalition formation, ...