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Budget-Feasible Mechanisms in Two-Sided Crowdsensing Markets: Truthfulness, Fairness, and Efficiency., , , , , , и . IEEE Trans. Mob. Comput., 22 (12): 6938-6955 (декабря 2023)Explicit Coordination Based Multi-agent Reinforcement Learning for Intelligent Traffic Signal Control., , , , и . ChineseCSCW (2), том 2013 из Communications in Computer and Information Science, стр. 3-18. Springer, (2023)A Method for Security Traffic Patrolling Based on Structural Coordinated Proximal Policy Optimization., , , , , и . ChineseCSCW (2), том 2013 из Communications in Computer and Information Science, стр. 62-76. Springer, (2023)Budget Feasible Mechanisms Over Graphs., , , и . AAAI, стр. 5549-5556. AAAI Press, (2021)Factor Graph Neural Network Meets Max-Sum: A Real-Time Route Planning Algorithm for Massive-Scale Trips., , , , и . AAMAS, стр. 1165-1173. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Budget-feasible Sybil-proof mechanisms for crowdsensing., , , , , и . Theor. Comput. Sci., (августа 2023)Budget-Feasible Sybil-Proof Mechanisms for Crowdsensing., , , , , и . FAW, том 13461 из Lecture Notes in Computer Science, стр. 269-288. Springer, (2022)Master Multiple Real-Time Strategy Games with a Unified Learning Model Using Multi-agent Reinforcement Learning., , , , , , и . NCAA (2), том 1638 из Communications in Computer and Information Science, стр. 27-39. Springer, (2022)A Practical Negotiation-Based Team Formation Model for Non-cooperative Social Networks., и . ICTAI, стр. 344-351. IEEE Computer Society, (2014)Online Collective Multiagent Planning by Offline Policy Reuse with Applications to City-Scale Mobility-on-Demand Systems., , , , и . AAMAS, стр. 1364-1372. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)