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router-scheduler

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danish1804 / Reinforcement-Learning-Router

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This project implements a reinforcement learning-based packet scheduler for a simulated router handling multiple traffic classes (video, voice, and best-effort). The goal is to meet delay-based QoS constraints while minimizing latency, using model-free RL techniques such as Q-Learning.

machine-learning networking pytorch gym packet-scheduler deep-q-network gym-environment reinforcement-learning-agent reinforcement-learning-environments ppo-agent stable-baselines3 router-scheduler
  • Updated Sep 10, 2025
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