[hpc-announce] RLAN Workshop 2025 Final Extension - Deadline 31 August 2025 (FIRM)

[José Pedro Pereira dos Santos (UGent-imec)]

Apologies for cross and multiple postings



RLAN 2025 - The First International Workshop on Reinforcement Learning for Networking (RLAN) Workshop will be held in conjunction with the 21st edition of the International Conference on Network and Service Management (CNSM) 2025 in Bologna, Italy, on October 27- 31.


The RLAN Workshop will address critical technical issues at the intersection of Reinforcement Learning (RL) and networking. Key research areas include:


  *
Network Service Management and Orchestration: RL can be used to intelligently manage and orchestrate network services according to the network status and user requirements.
  *
Network Resource Allocation: RL can dynamically adapt to changing conditions to distribute network resources efficiently.
  *
Traffic Engineering and Management: RL is applied to develop intelligent routing strategies.
  *
Network Resilience and Security: RL enhances real-time anomaly detection and response.


The workshop will explore RL applications in various networking scenarios, advancing autonomous network management to create self-organizing, self-healing networks. Addressing cutting-edge topics that
align with current academic and industry trends, the RLAN Workshop will particularly appeal to the CNSM community. Its interdisciplinary approach bridges machine learning and networking, offering
practical insights and real-world applications that attendees can apply to their work. The workshop will feature distinguished speakers, a panel discussion, and numerous networking opportunities, fostering collaboration and knowledge exchange among researchers, practitioners, and industry experts.



CNSM website: https://urldefense.us/v3/__https://cnsm-conf.org/2025/__;!!G_uCfscf7eWS!a7EMXfnN1BAYS-y6v_2BSIe5ziYTqz4kEOYAKs2jRHgiRcaaK4iYgzQUIM4pIJhES8F9lum_UaL6aUCvjNLPmzLEytt1SLJiSTY$ 
Workshop website: https://urldefense.us/v3/__https://sites.google.com/view/rlan2025/__;!!G_uCfscf7eWS!a7EMXfnN1BAYS-y6v_2BSIe5ziYTqz4kEOYAKs2jRHgiRcaaK4iYgzQUIM4pIJhES8F9lum_UaL6aUCvjNLPmzLEytt16yrRxUo$ 
Paper Submission Link: https://urldefense.us/v3/__https://edas.info/N34166__;!!G_uCfscf7eWS!a7EMXfnN1BAYS-y6v_2BSIe5ziYTqz4kEOYAKs2jRHgiRcaaK4iYgzQUIM4pIJhES8F9lum_UaL6aUCvjNLPmzLEytt1qrUakt0$ 


Important Dates

Paper Submission: 31 August 2025 (FIRM)

Acceptance Notification: 8 September 2025

Camera Ready: 14 September 2025

All times in Anywhere on Earth (AoE) timezone.



Workshop General co-chairs

  *
José Santos (Ghent University - imec, Belgium)
  *
Guillaume Fraysse (Orange, France)



Technical Program Committee (TPC)

  *
Mauro Tortonesi (University of Ferrara, Italy)
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Filippo Poltronieri (University of Ferrara, Italy)
  *
Tim Wauters (Ghent University - imec, Belgium)
  *
Jaime Galàn-Jimènez (University of Extremadura, Spain)
  *
Marco Zambianco (FBK, Italy)
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Jaime Llorca, (New York University, NY, USA)
  *
Roberto Rodrigues Filho (Federal University of Santa Catarina, Brazil)
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Francesca Fossati (Sorbonne Université, France)
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Raphaël Feraud (Orange, France)
  *
Yoichi Matsuo (NTT Network Service Systems Laboratories, Japan



Topics of Interest (but not limited to)

  *
Communication Protocols & Middleware
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Cloud and Compute Continuum
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Network Function Virtualization (NFV)
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Software-Defined Networking (SDN)
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Operations and Business Support Systems
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Anomaly Detection, Fault Management
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Configuration Management
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Resource Management & Orchestration
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Control and Data Plane Programmability
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Digital Twins for Networks and Services
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Quality of Service/Experience Management
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Multi-Agent Reinforcement Learning (RL)
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Distributed RL over communication networks
  *
Network Architectures for efficient RL

If the topic of the paper is not exclusively focused on Reinforcement Learning (RL), at least one of the methods utilized should involve RL.



Author Instructions

Authors are invited to submit original contributions to the workshop that are written in English and that have not been published or submitted for publication elsewhere. Workshop papers must be submitted

through EDAS as PDFs using the IEEE conference double-column format style. Style templates can be found here<https://urldefense.us/v3/__https://www.ieee.org/conferences/publishing/templates.html__;!!G_uCfscf7eWS!a7EMXfnN1BAYS-y6v_2BSIe5ziYTqz4kEOYAKs2jRHgiRcaaK4iYgzQUIM4pIJhES8F9lum_UaL6aUCvjNLPmzLEytt1y_aoum0$ >.

A CNSM workshop paper must not exceed six pages (including references). All submitted papers will be peer-reviewed based on their originality, significance, technical soundness, and relevance to the workshop’s themes. For accepted papers, at least one author is expected to register and present the paper in person at the workshop. Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore.



RLAN 2025 Chairs

José Santos (Ghent University - imec, Belgium)
Guillaume Fraysse (Orange, France)