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Achievement: StarstruckAchievement: Pull Sharkx2Achievement: YOLO

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RPegoud/README.md

  • 🔭 I’m currently studying Computational Statistics and Machine Learning at University College London (UCL).

  • 🌱 Ongoing projects:

    • Contributing to Syllabus by implementing Curriculum Learning algorithms (e.g. Self-Play variants).
    • Contributing to Stoix by implenting DQN variants in JAX.

  • 📝 I regularly write about Reinforcement Learning and other ML topics on Towards Data Science

  • 📫 Reach me here: [email protected]

  • 📄 Learn more about my experiences on my portfolio

  • 🤝 Connect with me on LinkedIn

Latest Blogs Posts

🕹️ Languages and Tools

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  1. Triton-Kernels Triton-Kernels Public

    Jupyter Notebook 2 1

  2. Hercules Hercules Public

    Neural Memory Augmentation of Large Language Models

    Python

  3. RyanNavillus/Syllabus RyanNavillus/Syllabus Public

    Synchronized Curriculum Learning for RL Agents

    Python 116 16

  4. EdanToledo/Stoix EdanToledo/Stoix Public

    🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

    Python 376 44