Paper Citation Record · LEDGER

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G

As of 14 August 2026, this Paper Citation Record lists 100 of 262 outbound references and 3 inbound Pith citation observations for arXiv:2502.05812.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.05812 v1

Coverage vector

measured 100 of 262 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:54:46.365781Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:59:48.236412Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T20:46:48.864637Z

Reference resolution

100 of 262 outbound references displayed

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verified fuzzy0
unresolved99
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b3ac5e5-fd9f-422f-915b-7b9563438c51 · outbound

This paper cites 5G wireless network slicing for eMBB, URLLC, and mMTC: A communication-theoretic view,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G 5G wireless network slicing for eMBB, URLLC, and mMTC: A communication-theoretic view,

Reference 1

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Observation e82aa735-8b2f-4328-9237-9d9782494e85 · outbound

This paper cites Next generation 5G wireless networks: A comprehensive survey,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Next generation 5G wireless networks: A comprehensive survey,

Reference 2

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This paper cites 5G: A tutorial overview of standards, trials, challenges, deployment, and practice,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G 5G: A tutorial overview of standards, trials, challenges, deployment, and practice,

Reference 3

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Observation 8efad839-ec23-4095-9224-a2e5774b2239 · outbound

This paper cites A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,

Reference 4

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Observation e9970d0b-b352-48f5-86f5-15b2bae8862a · outbound

This paper cites A tutorial on near-field XL-MIMO communications toward 6G,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A tutorial on near-field XL-MIMO communications toward 6G,

Reference 5

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Observation 50b2c9f3-2939-4907-986b-2f78951a5125 · outbound

This paper cites Toward 6G networks: Use cases and technologies,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Toward 6G networks: Use cases and technologies,

Reference 6

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Observation fd2adc42-5750-4efb-9c3c-ab8862b8d419 · outbound

This paper cites A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,

Reference 7

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Observation 2ba6a99f-f846-43e1-9486-54f96483f0c8 · outbound

This paper cites A speculative study on 6G,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A speculative study on 6G,

Reference 8

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Observation 505ab9b8-9ca6-4391-b8ed-64de1e7867e4 · outbound

This paper cites Towards 6G wireless communica- tion networks: Vision, enabling technologies, and new paradigm shifts,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Towards 6G wireless communica- tion networks: Vision, enabling technologies, and new paradigm shifts,

Reference 9

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This paper cites 6G wireless systems: Vision, requirements, challenges, insights, and opportunities,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G 6G wireless systems: Vision, requirements, challenges, insights, and opportunities,

Reference 10

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Observation 33c98975-4d8f-4fba-998a-70059ab4e4a1 · outbound

This paper cites Resource allocation for near-field communications: Fundamentals, tools, and outlooks,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Resource allocation for near-field communications: Fundamentals, tools, and outlooks,

Reference 11

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Observation e12372be-e4d3-4ff9-88a3-bf9e948f30cf · outbound

This paper cites Cell-free massive MIMO versus small cells,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Cell-free massive MIMO versus small cells,

Reference 12

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Observation 55c54e52-a545-4beb-a1b0-4c3db2bb1545 · outbound

This paper cites Cell- free massive MIMO: A new next-generation paradigm,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Cell- free massive MIMO: A new next-generation paradigm,

Reference 13

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This paper cites Ultradense cell-free massive MIMO for 6G: Technical overview and open questions,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Ultradense cell-free massive MIMO for 6G: Technical overview and open questions,

Reference 14

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This paper cites Next- generation multiple access with cell-free massive MIMO,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Next- generation multiple access with cell-free massive MIMO,

Reference 15

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Observation 86e9de9a-2f19-4ccd-bf71-78f1640f3cf2 · outbound

This paper cites Foundations of user- centric cell-free massive MIMO,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Foundations of user- centric cell-free massive MIMO,

Reference 16

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Observation 93d4f2b6-4198-4291-b421-3f4c4be5f9c2 · outbound

This paper cites User-centric cell-free massive MIMO networks: A survey of opportunities, challenges and solutions,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G User-centric cell-free massive MIMO networks: A survey of opportunities, challenges and solutions,

Reference 17

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Observation 5c5ab124-2715-4032-9465-f5c010828ef6 · outbound

This paper cites Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming,

Reference 18

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Observation b0c88830-5b1e-4453-9b69-275ca79f6aec · outbound

This paper cites Reconfigurable intelligent surfaces: Principles and opportu- nities,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Reconfigurable intelligent surfaces: Principles and opportu- nities,

Reference 19

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Observation 43610352-24b9-4fd2-8568-96ca0e90f2fe · outbound

This paper cites Reconfigurable intelligent surfaces for 6G systems: Prin- ciples, applications, and research directions,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Reconfigurable intelligent surfaces for 6G systems: Prin- ciples, applications, and research directions,

Reference 20

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Reconfigurable intelligent surfaces for energy efficiency in wireless communication,

Reference 21

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This paper cites RIS-aided cell-free massive MIMO systems for 6G: Fundamentals, system design, and applications,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G RIS-aided cell-free massive MIMO systems for 6G: Fundamentals, system design, and applications,

Reference 22

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Dynamic computation offloading for mobile-edge computing with energy harvesting devices,

Reference 23

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A survey on mobile edge computing: The communication perspective,

Reference 24

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Present and future of terahertz commu- nications,

Reference 25

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Tera- hertz channel propagation phenomena, measurement techniques and modeling for 6G wireless communication applications: A survey, open challenges and future research directions,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Survey of important issues in UA V communication networks,

Reference 27

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Toward autonomous multi-UA V wireless network: A survey of reinforcement learning-based approaches,

Reference 28

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A multi-agent collaborative environment learning method for UA V deployment and resource allocation,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Communication-efficient and distributed learning over wireless networks: Principles and applications,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Impact of adaptive consistency on distributed SDN applications: An empirical study,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Distributed learning in wireless networks: Recent progress and future challenges,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A survey on distributed machine learning,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Communication-efficient distributed learning: An overview,

Reference 34

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Envisioning device-to- device communications in 6G,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Survey on device to device (D2D) communication for 5GB/6G networks: Concept, applications, challenges, and future directions,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G From federated to fog learning: Distributed machine learning over heterogeneous wireless networks,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multi-agent reinforcement learning: A review of challenges and applications,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Learning to communicate with deep multi-agent reinforcement learning,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multiagent cooperation and competition with deep reinforcement learning,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Optimization for reinforcement learning: From a single agent to cooperative agents,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Applications of multi-agent reinforcement learning in future internet: A comprehensive survey,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Emergent communication in multi-agent reinforcement learning for future wireless networks,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Graph neural network meets multi-agent reinforcement learning: Fundamen- tals, applications, and future directions,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Deep reinforcement learning: A brief survey,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Applications of deep reinforcement learning in communications and networking: A survey,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A review of safe reinforcement learning: Methods, theories, and applications,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Cell-free XL-MIMO meets multi-agent reinforcement learn- ing: Architectures, challenges, and future directions,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Reinforcement learning: A survey,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Pilco: A model-based and data- efficient approach to policy search,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Model- based reinforcement learning: A survey,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G TRGP: Trust region gradient projection for continual learning,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multi-agent actor-critic for mixed cooperative-competitive en- vironments,

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G When to trust your model: Model-based policy optimization,

Reference 57

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This paper cites Mastering atari, go, chess and shogi by planning with a learned model,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Mastering atari, go, chess and shogi by planning with a learned model,

Reference 58

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Observation 3967cb7b-38fe-4e0e-841c-6dc23c2420d7 · outbound

This paper cites Efficient and scalable reinforcement learning for large-scale network control,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Efficient and scalable reinforcement learning for large-scale network control,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.230402Z

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Observation 283c1f2b-659c-4ce1-ac5d-6b113d8d6c19 · outbound

This paper cites Multi-agent reinforcement learn- ing: A selective overview of theories and algorithms,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multi-agent reinforcement learn- ing: A selective overview of theories and algorithms,

Reference 60

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Observation a4c8e738-a1f0-4a8e-80ef-19074a3c18ce · outbound

This paper cites Monotonic value function factorisation for deep multi- agent reinforcement learning,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.236441Z

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Observation 4b276ed6-f492-453f-bf3e-41637f6bb1c6 · outbound

This paper cites Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

Reference 62

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Observation b86cac52-c1d2-4db9-8f72-357a586d710c · outbound

This paper cites Multi-agent reinforcement learning as a rehearsal for decentralized planning,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multi-agent reinforcement learning as a rehearsal for decentralized planning,

Reference 63

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Observation 5618bdd0-79f5-4d76-9597-c3850995dadc · outbound

This paper cites Multi-agent deep reinforcement learning: a survey,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multi-agent deep reinforcement learning: a survey,

Reference 64

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Observation 6cefe2b6-1de3-48e6-a8c4-d676b68d2d9f · outbound

This paper cites A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications,

Reference 65

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Observation e6e6e2f3-deb4-47a2-a5fa-4a4aec2c7a9d · outbound

This paper cites An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.253107Z

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Observation 6d37122a-657f-465a-bee3-c7e994784494 · outbound

This paper cites A software-defined MARL-based ar- chitecture for AUV cluster network to enable cooperative and smart underwater target tracking,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G A software-defined MARL-based ar- chitecture for AUV cluster network to enable cooperative and smart underwater target tracking,

Reference 67

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Observation 89ca6b7a-aacf-4940-b807-c6b33978a579 · outbound

This paper cites An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning

Reference 68

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Observation 9f7b35c4-bbe7-4ce2-877b-42bc44181928 · outbound

This paper cites Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.266827Z

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Observation 0e9d60a3-8ce6-412e-96af-960ab746c7a9 · outbound

This paper cites DTDE: A new cooperative multi- agent reinforcement learning framework,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G DTDE: A new cooperative multi- agent reinforcement learning framework,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.270156Z

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Observation 77cbdcad-79bc-4fb4-b22c-18fbfbd4e539 · outbound

This paper cites Survey on recent advances in multiagent reinforcement learning focusing on decentralized training with decentralized execution framework,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Survey on recent advances in multiagent reinforcement learning focusing on decentralized training with decentralized execution framework,

Reference 72

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Observation f1b27407-a828-4dc9-88b7-a4c4a2912241 · outbound

This paper cites Differential evolution for discrete-time large dynamic games,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Differential evolution for discrete-time large dynamic games,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.276769Z

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Observation 41b3051d-a31d-43a9-8fd9-52da73dd5d74 · outbound

This paper cites F2a2: Flexible fully- decentralized approximate actor-critic for cooperative multi-agent re- inforcement learning,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G F2a2: Flexible fully- decentralized approximate actor-critic for cooperative multi-agent re- inforcement learning,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.279768Z

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Observation 82fdc109-ca2d-481b-8d57-9bc407a8cabc · outbound

This paper cites Fully decentralized multi-agent reinforcement learning with networked agents,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Fully decentralized multi-agent reinforcement learning with networked agents,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.282780Z

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Observation a067999f-5f92-47cd-915e-c17290ac2ebb · outbound

This paper cites Deep de- centralized multi-task multi-agent reinforcement learning under partial observability,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Deep de- centralized multi-task multi-agent reinforcement learning under partial observability,

Reference 76

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Observation bf8b0c66-58e6-4057-b1f7-b9ae297b7c73 · outbound

This paper cites Accelerating multiagent reinforcement learning by equilibrium transfer,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Accelerating multiagent reinforcement learning by equilibrium transfer,

Reference 77

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Observation 24d728fb-0624-431b-b659-20e073bd60f4 · outbound

This paper cites Multiagent adversarial collaborative learning via mean-field theory,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multiagent adversarial collaborative learning via mean-field theory,

Reference 78

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Observation 69408513-9455-4150-96f2-3f18b5969cca · outbound

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Deep learning and the information bottleneck principle,

Reference 79

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Observation 87bee31f-c37a-4bad-a316-2a7697504b5a · outbound

This paper cites Deep variational information bottleneck,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Deep variational information bottleneck,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.298687Z

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Observation 0fc71604-b106-48f4-9437-dca14fb22c6c · outbound

This paper cites Graph information bottleneck,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Graph information bottleneck,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.301939Z

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Observation fc1d5779-bf20-45ae-875c-9c2e87f9b590 · outbound

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Graph structure learning with variational information bottleneck,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.305205Z

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Observation 5dd281e0-6d1a-4338-931c-5db9042bd4f5 · outbound

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Recognizing predictive substructures with subgraph information bottleneck,

Reference 83

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Observation 97d146b2-815c-4215-aa8a-315c4a40e3f1 · outbound

This paper cites Improving subgraph recognition with variational graph information bottleneck,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Improving subgraph recognition with variational graph information bottleneck,

Reference 84

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Observation 3c59f59a-ba74-44b5-82c0-38b06917eba7 · outbound

This paper cites Heterogeneous-agent reinforcement learning,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Heterogeneous-agent reinforcement learning,

Reference 85

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Observation 2e2c7540-1c41-4278-b0ce-a62c1907e22b · outbound

This paper cites Max- imum entropy heterogeneous-agent reinforcement learning,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Max- imum entropy heterogeneous-agent reinforcement learning,

Reference 86

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Observation 04502f93-57b8-4640-92a6-c68741951541 · outbound

This paper cites Gat-mf: Graph attention mean field for very large scale multi-agent reinforcement learning,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Gat-mf: Graph attention mean field for very large scale multi-agent reinforcement learning,

Reference 87

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Observation 6522f112-cf35-42e6-8397-9ad7ffb6c1b7 · outbound

This paper cites Multi- cluster cooperative offloading for VR task: A MARL approach with graph embedding,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multi- cluster cooperative offloading for VR task: A MARL approach with graph embedding,

Reference 88

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Observation f424e5a1-6870-42a1-b26f-075659651f8a · outbound

This paper cites Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:54:47.093101Z

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Observation 64c4ca0c-7b7e-4a08-8a68-ebf55a22c04a · outbound

This paper cites 6G internet of things: A comprehensive survey,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G 6G internet of things: A comprehensive survey,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.331333Z

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Observation 3ca62d9a-ad01-449e-bf97-09e328d09c30 · outbound

This paper cites Convergent communication, sensing and localization in 6G systems: An overview of technologies, opportunities and chal- lenges,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Convergent communication, sensing and localization in 6G systems: An overview of technologies, opportunities and chal- lenges,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-08T17:54:46.334315Z

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Observation 4897e94a-aff8-489a-8dbe-51a25445082d · outbound

This paper cites Multiagent deep reinforcement learning for cost- and delay-sensitive virtual network function placement and routing,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Multiagent deep reinforcement learning for cost- and delay-sensitive virtual network function placement and routing,

Reference 92

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Observation cec32094-3c9d-40bd-8950-5e6fdf731a08 · outbound

This paper cites 6G: A comprehensive survey on technologies, applications, challenges, and research prob- lems,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G 6G: A comprehensive survey on technologies, applications, challenges, and research prob- lems,

Reference 93

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Observation 1011584a-f7f1-40c4-b2f5-4b65c4da6b8d · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 94

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Observation 56f1b09a-5325-4094-9035-8b0d3f1a1fa8 · outbound

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Security and privacy in device-to-device (D2D) communication: A review,

Reference 95

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Observation 438659c7-ae9c-4c08-8403-08765c33a68a · outbound

This paper cites MIMO channel capacity for the distributed antenna,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G MIMO channel capacity for the distributed antenna,

Reference 96

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Observation 01d0919a-54d2-46cc-aced-acf473de93c7 · outbound

This paper cites Cloud radio access network (C-RAN): a primer,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Cloud radio access network (C-RAN): a primer,

Reference 97

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Observation ae97e46d-6fa9-4e31-9e48-c508f644be3a · outbound

This paper cites Downlink MIMO in LTE-advanced: SU-MIMO vs. MU-MIMO,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Downlink MIMO in LTE-advanced: SU-MIMO vs. MU-MIMO,

Reference 98

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Observation d179d874-6369-4216-8489-65f6bdf42c97 · outbound

This paper cites Stacked intelligent metasurfaces for efficient holo- graphic MIMO communications in 6G,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Stacked intelligent metasurfaces for efficient holo- graphic MIMO communications in 6G,

Reference 99

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Observation 8e18e084-b367-45d6-8ca3-4e98e72bcb3a · outbound

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Fluid antenna systems,

Reference 100

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Observation 5a1d93c5-73e6-43db-9285-45086ef51f60 · outbound

This paper cites Movable antennas for wireless communication: Opportunities and challenges,.

Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G Movable antennas for wireless communication: Opportunities and challenges,

Reference 101

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Pith citing papers

Observation 0b0256e2-0ddb-4667-8a33-594dcb285da3 · inbound

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AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:48.236412Z

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Observation 741c6477-8cf3-4374-aa08-56e757bcfbb4 · inbound

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Joint Power Control and Precoding for Cell-Free Massive MIMO Systems With Sparse Multi-Dimensional Graph Neural Networks Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G

Reference 3

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Observation f8a4cbe5-1b04-46bf-b447-e10281e2ce72 · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G

Reference 60

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