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Author

Mahdi Boloursaz Mashhadi

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Open access Mar 2025

Multi-Agent Uncertainty-Aware Pessimistic Model-Based Reinforcement Learning for Connected Autonomous Vehicles

MA-PMBRL, a novel Multi-Agent Pessimistic Model-Based Reinforcement Learning framework for CAVs, incorporating a max-min optimization approach to enhance robustness and decision-making is proposed, demonstrating that the proposed framework represents a significant step toward scalable, efficient, and reliable multi-age...

Ruo-Qi Wen, Rong-Peng Li, Xing Xu et al. · 1 citation
#artificial intelligence Review Sep 2026

From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivity

The ambitious requirements of sixth-generation (6G) networks are driving communication systems from reliable bit delivery toward meaning-aware and task-oriented connectivity. Large models (LMs), with strong multimodal understanding and generation capabilities, have accelerated this shift and made semantic communication...

Yu Ma, Zhen Gao, Li Qiao et al. · 0 citations

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