Mitigation-of-Scheduling-Violations-in-Time-Sensitive-Networking-using-Deep-Deterministic-Policy-Gra

This repo contains the code used in the paper Mitigation of Scheduling Violations in Time-Sensitive Networking using Deep Deterministic Policy Gradient.

DDPG2.py contains the ddpg model we use for the training. Simulatrion1.py contains the TSN switch simulation, which provides the state, reward, and action for DDPG model.