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Keqiang Yue

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Jul 2026

Multi‐Agent Reinforcement Learning for Concurrent Task‐Chain Scheduling in Heterogeneous Edge–Cloud Environments

DC‐MAPPO is developed, which introduces a Directional Clamp mechanism to improve policy update stability under high‐concurrency conditions and a dynamic action masking strategy is designed to ensure decision feasibility and reduce invalid exploration.

Xinyi Li, Chao Wang, Jiakai Liang et al. · 0 citations