1st Reinforcement Learning Applied to Networking (RLAN) workshop

RLAN 2025 - The First International Workshop on Reinforcement Learning Applied to 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. 

Workshop General co-chairs

• José Santos (Ghent University - imec, Belgium)

• Guillaume Fraysse (Orange Research, 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 Research, France)

• Yoichi Matsuo (NTT Network Service Systems Laboratories, Japan)