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Tempip/README.md

Pedro Rodrigues · Telecommunications Engineering at UPCT · 5G, reinforcement learning and optimization

LinkedIn: let's connect

🧑‍💻 About me

  • 🎓 Telecommunications Engineering student at the Universidad Politécnica de Cartagena (Spain)
  • 📡 Into wireless networks and 5G, especially where they meet reinforcement learning
  • 🧮 I like hard optimization problems: vehicle routing, metaheuristics, local search
  • 🏆 Winner of the SmartEcoRutas challenge at Retos-UPCT 2026

🛠️ Tech I work with

Python NumPy PyTorch NVIDIA Sionna Gymnasium Stable-Baselines3 Matplotlib Jupyter GitHub Actions

Popular repositories Loading

  1. linkgym linkgym Public

    A reinforcement learning (Gymnasium) environment for 5G NR link adaptation on NVIDIA Sionna, with 3GPP and ray-traced channels, classical baselines and a reproducible evaluation protocol.

    Python 1

  2. SmartEcoRutas SmartEcoRutas Public

    🏆 Winning solution of SmartEcoRutas (Retos-UPCT 2026): a vehicle-routing solver in pure Python + NumPy that routes Cartagena's waste-collection trucks. 6,446 containers, 65 routes, 15 min per service.

    Python

  3. Tempip Tempip Public