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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

Before PhD I had built things in Unity and XR. Two of them still make 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.

🔬 Featured repositories

SymbXRL Federated load forecasting

PYNQ edge detection Bayesian matting

📍 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 14 2

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

    SYMBXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks

    HTML 22 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