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ADG4050/README.md

Abhishek Duttagupta — Reinforcement learning & symbolic AI for networked systems

PhD researcher at IMDEA Networks and UC3M in Madrid. I work at the intersection of reinforcement learning, symbolic AI and networked systems. Previously, I have completed my Masters in Electronics Information Engineering from Trinity College Dublin. Currently I am a visiting PhD student at Dept. of ECE, at Carnegie Mellon University (CMU), in Pittsburgh, PA, USA.

📄 Selected papers

  • SIA — Symbolic interpretability for anticipatory DRL · INFOCOM 2026 · arXiv
  • SymbXRL — Symbolic explainable DRL for mobile networks · INFOCOM 2025 · arXiv · code

🎮 Side quests

Previously, I made two things in Unity being interested in XR, which still makes me smile 🥹.

Naruto VR environment
Naruto VR environment
An amateur VR world built around the Naruto universe. 		XR football stadium relay
XR football-stadium relay
Real-world stadium feed rebroadcast into an XR scene.

📍 Madrid, Spain · currently in Pittsburgh, PA, USA .

Pinned Loading

  1. Exploring-Lightweight-Federated-Learning-for-load-forecasting Exploring-Lightweight-Federated-Learning-for-load-forecasting Public

    Federated Learning on Energy Dataset for load forecasting using clustering and sequential DNN methods

    Jupyter Notebook 13 2

  2. RAINet-Lab/SYMBXRL RAINet-Lab/SYMBXRL Public

    SYMBXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks

    HTML 23 3

  3. Image-Edge-Detection-PYNQ Image-Edge-Detection-PYNQ Public

    Image Edge Detection Sobel Filter Hardware Implementation on PYNQ FPGA Board

    Jupyter Notebook 10

  4. Bayesian-Matting-Implementation Bayesian-Matting-Implementation Public

    Implementation of Bayesian Matting for Image Composting

    Python