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Open access Sep 2026

Collaborative Cloud-Edge Computing via LLM-Guided Constrained Reinforcement Learning

Cloud computing (CC) and mobile edge computing (MEC) has become essential for augmenting computational capacity and minimizing latency by offloading tasks from user equipments (UEs) to servers. While deep reinforcement learning (DRL) is a powerful tool for optimizing offloading decisions and managing resource allocatio...

Yu-Hui Wang, Xing-Qi Wu, Junaid Farooq et al. · 0 citations
#machine learning Preprint Oct 2026

Independent Multi-Agent Reinforcement Learning with Counterfactual Semantic-Social World Models

Fully decentralized multi-agent reinforcement learning (MARL), also referred to as independent learning, requires each agent to learn and act using only its local information and experience, without a centralized critic or inter-agent communication. Such a stringent information structure renders the conventional reward...

Fernando Martinez, Tao Li, Ying-Dong Lu et al. · 0 citations

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