1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning
Lam Dinh, Pham Tran Anh Quang, Jérémie Leguay
Deep Reinforcement Learning (DRL) algorithms have recently made significant strides in improving network performance. Nonetheless, their practical use is still limited in the absen…
Global QoS Policy Optimization in SD-WAN
Pham Tran Anh Quang, Jérémie Leguay, Xu Gong +1
In modern SD-WAN networks, a global controller is able to steer traffic on different paths based on application requirements and global intents. However, existing solutions cannot…