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A Learning Based Solution for Energy Harvesting Decode-and-Forward Two-Hop Communications.

, , , , и . GLOBECOM, стр. 1-7. IEEE, (2016)

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Richard Ortiz Ortiz

Adrían Enrique Ortiz Rojas

Angela Andrea Ortiz Pinzón

Michael Ortiz

Javier Urbano Ortiz Velásquez

 

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Reinforcement learning for energy harvesting point-to-point communications., , , , и . ICC, стр. 1-6. IEEE, (2016)Resource Allocation in Energy Harvesting Multiple Access Scenarios via Combinatorial Learning., , и . SPAWC, стр. 1-5. IEEE, (2019)SCAROS: A Scalable and Robust Self-Backhauling Solution for Highly Dynamic Millimeter-Wave Networks., , , , и . IEEE J. Sel. Areas Commun., 37 (12): 2685-2698 (2019)Risk-Sensitive Optimization and Learning for Minimizing Age of Information in Point-to-Point Wireless Communications., , , и . ICC Workshops, стр. 1161-1166. IEEE, (2023)Risk-Aware Bandits for Digital Twin Placement in Non-Stationary Mobile Edge Computing., , и . ICC Workshops, стр. 13-18. IEEE, (2024)Evaluation of an Augmented Reality Multiplayer Learning Game., , , и . JCSG, том 11243 из Lecture Notes in Computer Science, стр. 91-100. Springer, (2018)A Two-Layer Reinforcement Learning Solution for Energy Harvesting Data Dissemination Scenarios., , и . ICASSP, стр. 6648-6652. IEEE, (2018)A resource requirement aware transmit strategy for non-regenerative multi-way relaying., , и . WCNC, стр. 19-24. IEEE, (2015)Contextual Multi-Armed Bandits for Non-Stationary Heterogeneous Mobile Edge Computing., , и . GLOBECOM, стр. 5599-5604. IEEE, (2023)Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing., , , и . IEEE Trans. Commun., 72 (8): 4945-4960 (августа 2024)