RLAN 2025 : The First International Workshop on Reinforcement Learning for Networking

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.

Website: https://sites.google.com/view/rlan2025/home

**Important Dates**
- Paper Submission 11 August 2025
- Acceptance Notification 8 September 2025
- Camera Ready 14 September 2025
- Workshop 27 - 31 October 2025
All times in Anywhere on Earth (AoE) timezone.

**Workshop co-chairs**
– José Santos (Ghent University - imec, Belgium)
– Guillaume Fraysse (Orange, France)

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

**Topics of Interest (but not limited to)**
– Communication Protocols & Middleware
– Cloud and Compute Continuum
– Network Function Virtualization (NFV)
– Software-Defined Networking (SDN)
– Operations and Business Support Systems
– Anomaly Detection, Fault Management
– Configuration Management
– Resource Management & Orchestration
– Control and Data Plane Programmability
– Digital Twins for Networks and Services
– Quality of Service/Experience Management
– Multi-Agent Reinforcement Learning (RL)
– 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://www.ieee.org/conferences/publishing/templates.html. A CNSM workshop paper must not exceed six pages (excluding 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.