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Hybrid Spectrum Access for V2V Heterogeneous Networks with Deep Reinforcement Learning.

, , , , and . WCSP, page 1091-1095. IEEE, (2022)

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Correction to: FastMM: an efficient toolbox for personalized constraint-based metabolic modeling., , , , , and . BMC Bioinform., 21 (1): 409 (December 2020)Deep Reinforcement Learning-Based Power Allocation for Rate-Splitting Multiple Access in 6G LEO Satellite Communication System., , , , and . IEEE Wirel. Commun. Lett., 11 (10): 2185-2189 (2022)Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks., , , , and . IEEE Commun. Lett., 25 (8): 2614-2618 (2021)Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach., , , , and . IEEE Internet Things J., 9 (18): 17793-17807 (2022)Reconstruction and applications of consensus yeast metabolic network based on RNA sequencing., , , and . FEBS open bio, 6 (4): 264--275 (April 2016)Hybrid Spectrum Access for V2V Heterogeneous Networks with Deep Reinforcement Learning., , , , and . WCSP, page 1091-1095. IEEE, (2022)Optimal Spectrum Reuse of V2V Communications for Maximizing Average Throughput in Vehicular Ad Hoc Networks., , , , and . ICCC, page 1178-1182. IEEE, (2021)FastMM: an efficient toolbox for personalized constraint-based metabolic modeling., , , , , and . BMC Bioinform., 21 (1): 67 (2020)DCSaNet: Dilated Convolution and Self-Attention-Based Neural Network for Channel Estimation in IRS-Aided Multi-User Communication System., , , , , and . IEEE Wirel. Commun. Lett., 12 (7): 1139-1143 (July 2023)Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications., , , , and . IEEE Wirel. Commun. Lett., 11 (8): 1659-1663 (2022)