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SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines.

, , , and . EuCNC/6G Summit, page 623-628. IEEE, (2023)

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Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3944-3952. PMLR, (2019)Deep Reinforcement Learning for Scheduling Uplink IoT Traffic with Strict Deadlines., , , and . GLOBECOM, page 1-6. IEEE, (2021)Learning to Cooperate in D2D Caching Networks., , and . SPAWC, page 1-5. IEEE, (2019)Dynamic Power Allocation for Broadband Multi-Beam Satellite Communication Networks., and . IEEE Commun. Lett., 15 (4): 380-382 (2011)SeqDQN: Multi-Agent Deep Reinforcement Learning for Uplink URLLC with Strict Deadlines., , , and . EuCNC/6G Summit, page 623-628. IEEE, (2023)Learn2MAC: Online Learning Multiple Access for URLLC Applications., , , and . CoRR, (2019)Adaptive Coded Caching for Fair Delivery Over Fading Channels., , , and . IEEE Trans. Inf. Theory, 66 (7): 4530-4546 (2020)Learning to Cache With No Regrets., , , and . INFOCOM, page 235-243. IEEE, (2019)Distributed Stochastic Phase-Shift Optimization in a RIS-Assisted Cellular Network., , , , and . WCNC, page 1-7. IEEE, (2021)Blind Optimal User Association in Small-Cell Networks., , , and . INFOCOM, page 1-10. IEEE, (2021)