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Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach.

, , and . CoRR, (2023)

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Multi-Agent Deep Reinforcement Learning for Digital Twin over 6G Wireless Communication in the Metaverse., , and . INFOCOM Workshops, page 1-6. IEEE, (2023)Quantum Multi-Agent Reinforcement Learning as an Emerging AI Technology: A Survey and Future Directions., and . ICCA, page 1-7. IEEE, (2023)Detection of Uncertainty in Exceedance of Threshold (DUET): An Adversarial Patch Localizer., , , and . BDCAT, page 11-20. IEEE, (2022)Resource Allocation for Mobile Metaverse with the Internet of Vehicles over 6G Wireless Communications: A Deep Reinforcement Learning Approach., , and . WF-IoT, page 1-7. IEEE, (2022)Mobile Edge Adversarial Detection for Digital Twinning to the Metaverse with Deep Reinforcement Learning., , and . ICC, page 316-322. IEEE, (2023)UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach., , , , and . CoRR, (2023)Semantic Communications, Semantic Edge Computing, and Semantic Caching with Applications to the Metaverse and 6G Mobile Networks., and . ICDCS, page 983-984. IEEE, (2023)Mobile Edge Computing and AI Enabled Web3 Metaverse over 6G Wireless Communications: A Deep Reinforcement Learning Approach., , and . CoRR, (2023)Orchestration of Emulator Assisted 6G Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach., , and . VTC Spring, page 1-6. IEEE, (2024)Virtual Reality in Metaverse Over Wireless Networks with User-Centered Deep Reinforcement Learning., , and . ICC, page 6639-6644. IEEE, (2023)