2 papers
cs.LG2025
Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold Networks
Kamal Singh, Sami Marouani, Ahmad Al Sheikh +2
Reinforcement learning (RL) has been increasingly applied to network control problems, such as load balancing. However, existing RL approaches often suffer from lack of interpretab…
cs.NI2024
Safe Load Balancing in Software-Defined-Networking
Lam Dinh, Pham Tran Anh Quang, Jérémie Leguay
High performance, reliability and safety are crucial properties of any Software-Defined-Networking (SDN) system. Although the use of Deep Reinforcement Learning (DRL) algorithms ha…