{"total":25,"rows":[{"id":"2504.21048","title":"Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey","created":"2025-04-29","cited_by_count":14,"area":null},{"id":"2405.20024","title":"Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey","created":"2024-05-30","cited_by_count":9,"area":null},{"id":"2402.05027","title":"Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing","created":"2024-02-07","cited_by_count":8,"area":null},{"id":"2307.12115","title":"A Revolution of Personalized Healthcare: Enabling Human Digital Twin with Mobile AIGC","created":"2023-07-22","cited_by_count":7,"area":null},{"id":"2401.10949","title":"The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning","created":"2024-01-18","cited_by_count":6,"area":null},{"id":"2502.04028","title":"Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning","created":"2025-02-06","cited_by_count":6,"area":null},{"id":"2305.10091","title":"Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges","created":"2023-05-17","cited_by_count":5,"area":null},{"id":"2501.08263","title":"Multiplayer Federated Learning: Reaching Equilibrium with Less Communication","created":"2025-01-14","cited_by_count":5,"area":null},{"id":"2507.06997","title":"Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks","created":"2025-07-09","cited_by_count":5,"area":null},{"id":"2308.06973","title":"Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach","created":"2023-08-14","cited_by_count":3,"area":null},{"id":"2506.15225","title":"Joint Computation Offloading and Resource Allocation for Uncertain Maritime MEC via Cooperation of UAVs and Vessels","created":"2025-06-18","cited_by_count":3,"area":null},{"id":"2602.17062","title":"Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning","created":"2026-02-19","cited_by_count":3,"area":null},{"id":"2212.07967","title":"Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet","created":"2022-12-15","cited_by_count":2,"area":null},{"id":"2602.17009","title":"Action-Graph Policies: Learning Action Co-dependencies in Multi-Agent Reinforcement Learning","created":"2026-02-19","cited_by_count":2,"area":null},{"id":"2303.08680","title":"Muti-Agent Proximal Policy Optimization For Data Freshness in UAV-assisted Networks","created":"2023-03-15","cited_by_count":1,"area":null},{"id":"2601.11401","title":"Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning","created":"2026-01-16","cited_by_count":1,"area":null},{"id":"2308.10124","title":"Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning","created":"2023-08-19","cited_by_count":0,"area":null},{"id":"2405.02480","title":"A Network Simulation of OTC Markets with Multiple Agents","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2503.05970","title":"Partially Decentralized Multi-Agent Q-Learning via Digital Cousins for Wireless Networks","created":"2025-03-07","cited_by_count":0,"area":null},{"id":"2505.18433","title":"Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2508.13661","title":"Communication-Enhanced Tutoring for Efficient Decentralized Multi-Agent Reinforcement Learning","created":"2025-08-19","cited_by_count":0,"area":null},{"id":"2602.23667","title":"Blockchain-Enabled Routing for Zero-Trust Low-Altitude Intelligent Networks","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2604.10662","title":"Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks","created":"2026-04-12","cited_by_count":0,"area":null},{"id":"2605.08391","title":"SACHI: Structured Agent Coordination via Holistic Information Integration in Multi-Agent Reinforcement Learning","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2608.03852","title":"FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs","created":"2026-08-04","cited_by_count":0,"area":null}],"next_cursor":null}