Real-Time Scheduling with Independent Evaluators: Explainable Multi-Agent Approach

Real-Time Scheduling with Independent Evaluators: Explainable Multi-Agent Approach

This study introduces a multi-agent reinforcement learning approach to address the challenges of real-time scheduling in dynamic environments, with a specific focus on healthcare operations. The proposed system integrates the Human-in-the-Loop (HITL) paradigm, providing continuous feedback from huma...

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Bibliographic Details
Main Authors: Artem Isakov, Danil Peregorodiev, Ivan Tomilov, Chuyang Ye, Natalia Gusarova, Aleksandra Vatian, Alexander Boukhanovsky
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Technologies
Subjects:
decision making
explainability
multi-agent systems
real time
reinforcement learning
scheduling
Online Access:https://www.mdpi.com/2227-7080/12/12/259
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