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Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps., , , и . CoRR, (2020)Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing., , и . ICA, стр. 25-30. IEEE, (2021)Self-agreement: A Framework for Fine-Tuning Language Models to Find Agreement Among Diverse Opinions., и . PRICAI (2), том 14326 из Lecture Notes in Computer Science, стр. 298-309. Springer, (2023)Combining Multiagent Reinforcement Learning and Search Method for Drone Delivery on a Non-grid Graph., , и . PAAMS, том 13616 из Lecture Notes in Computer Science, стр. 112-126. Springer, (2022)A Constraint-based Approach to Edge Resource Allocation for Complex Event Processing., , и . WI/IAT, стр. 526-531. IEEE, (2020)Dynamic Task Allocation for Cost-Efficient Edge Cloud Computing., и . SCC, стр. 218-225. IEEE, (2020)A Deep Reinforcement Learning Based Facilitation Agent for Consensus Building Among Multi-Round Discussions., и . PRICAI (3), том 14327 из Lecture Notes in Computer Science, стр. 257-268. Springer, (2023)Learning in Two-Player Matrix Games by Policy Gradient Lagging Anchor., и . IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 102-A (4): 708-711 (2019)MARL4DRP: Benchmarking Cooperative Multi-agent Reinforcement Learning Algorithms for Drone Routing Problems., , и . PRICAI (3), том 14327 из Lecture Notes in Computer Science, стр. 459-465. Springer, (2023)Deep Coalitional Q-Learning for Dynamic Coalition Formation in Edge Computing., и . IEICE Trans. Inf. Syst., 105-D (5): 864-872 (2022)