A Deep Rl Approach For Sdn Routing Optimization Versions Save

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

v1

6 years ago
Filename Description Includes
100k.csv.gz 100000 test routing configurations dataset
benchmark.csv.gz Performance benchmark using 1000000 routings times 1000 traffic matrices, measured in average network delay dataset
traffic.zip 1000 test traffic matrixes (100 per each traffic intensity) dataset
train.csv.gz Evolution of DRL agent's performance during training, measured in average network delay dataset