{"total":33,"rows":[{"id":"2102.09759","title":"Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey","created":"2021-02-19","cited_by_count":14,"area":null},{"id":"2301.00519","title":"Holistic Network Virtualization and Pervasive Network Intelligence for 6G","created":"2023-01-02","cited_by_count":14,"area":null},{"id":"2207.05843","title":"A new hope for network model generalization","created":"2022-07-12","cited_by_count":11,"area":null},{"id":"2106.03129","title":"3D UAV Trajectory and Data Collection Optimisation via Deep Reinforcement Learning","created":"2021-06-06","cited_by_count":8,"area":null},{"id":"2106.09274","title":"Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks","created":"2021-06-17","cited_by_count":7,"area":null},{"id":"2303.15544","title":"Multi-Flow Transmission in Wireless Interference Networks: A Convergent Graph Learning Approach","created":"2023-03-27","cited_by_count":6,"area":null},{"id":"2102.01611","title":"Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis","created":"2021-02-02","cited_by_count":4,"area":null},{"id":"2105.04077","title":"Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees","created":"2021-05-10","cited_by_count":4,"area":null},{"id":"2403.07903","title":"Multiple Access in the Era of Distributed Computing and Edge Intelligence","created":"2024-02-26","cited_by_count":4,"area":null},{"id":"2103.03745","title":"Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification","created":"2021-03-05","cited_by_count":3,"area":null},{"id":"2508.07001","title":"Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization","created":"2025-08-09","cited_by_count":3,"area":null},{"id":"2309.10177","title":"Self-Sustaining Multiple Access with Continual Deep Reinforcement Learning for Dynamic Metaverse Applications","created":"2023-09-18","cited_by_count":2,"area":null},{"id":"2104.02059","title":"Distributed Deep Reinforcement Learning for Collaborative Spectrum Sharing","created":"2021-04-06","cited_by_count":1,"area":null},{"id":"2104.14549","title":"Medium Access using Distributed Reinforcement Learning for IoTs with Low-Complexity Wireless Transceivers","created":"2021-04-29","cited_by_count":1,"area":null},{"id":"2111.12581","title":"Medium Access Control protocol for Collaborative Spectrum Learning in Wireless Networks","created":"2021-10-25","cited_by_count":1,"area":null},{"id":"2205.06800","title":"Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning","created":"2022-05-13","cited_by_count":1,"area":null},{"id":"2207.03605","title":"Learning-based Autonomous Channel Access in the Presence of Hidden Terminals","created":"2022-07-07","cited_by_count":1,"area":null},{"id":"2211.01107","title":"Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems","created":"2022-11-02","cited_by_count":1,"area":null},{"id":"2302.02250","title":"Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation","created":"2023-02-04","cited_by_count":1,"area":null},{"id":"2307.05857","title":"FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems","created":"2023-07-12","cited_by_count":1,"area":null},{"id":"2101.06917","title":"Detection of Insider Attacks in Distributed Projected Subgradient Algorithms","created":"2021-01-18","cited_by_count":0,"area":null},{"id":"2106.08477","title":"Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty","created":"2021-06-15","cited_by_count":0,"area":null},{"id":"2204.03504","title":"AI-aided Traffic Control Scheme for M2M Communications in the Internet of Vehicles","created":"2022-03-05","cited_by_count":0,"area":null},{"id":"2302.05300","title":"Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks","created":"2023-01-14","cited_by_count":0,"area":null},{"id":"2302.13876","title":"Evolution of MAC Protocols in the Machine Learning Decade: A Comprehensive Survey","created":"2023-01-24","cited_by_count":0,"area":null},{"id":"2303.02657","title":"Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach","created":"2023-03-05","cited_by_count":0,"area":null},{"id":"2311.03468","title":"FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System","created":"2023-11-06","cited_by_count":0,"area":null},{"id":"2403.18057","title":"Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems","created":"2024-03-26","cited_by_count":0,"area":null},{"id":"2407.16877","title":"Neural Network-Based Bandit: A Medium Access Control for the IIoT Alarm Scenario","created":"2024-07-23","cited_by_count":0,"area":null},{"id":"2503.24296","title":"Fair Dynamic Spectrum Access via Fully Decentralized Multi-Agent Reinforcement Learning","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2601.12242","title":"Optimal Power Allocation and Sub-Optimal Channel Assignment for Downlink NOMA Systems Using Deep Reinforcement Learning","created":"2026-01-18","cited_by_count":0,"area":null},{"id":"2606.00266","title":"KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2608.22992","title":"Channel-Token Attention for Reliable Dynamic Spectrum Access under Bursty Primary-User Traffic","created":"2026-08-24","cited_by_count":0,"area":null}],"next_cursor":null}