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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: ryan.pegoud@outlook.com

  • 📄 Learn more about my experiences on my portfolio

  • 🤝 Connect with me on LinkedIn

Latest Blogs Posts

🕹️ Languages and Tools

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  1. RyanNavillus/Syllabus RyanNavillus/Syllabus Public

    Synchronized Curriculum Learning for RL Agents

    Python 21 15

  2. 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 228 24

  3. neat-jax neat-jax Public

    JAX implementation of NeuroEvolution of Augmenting Topologies (Neat)

    Jupyter Notebook 4

  4. jym jym Public

    JAX implementation of RL algorithms and vectorized environments

    Jupyter Notebook 33 2

  5. Temporal-Difference-learning Temporal-Difference-learning Public

    Implementation of Temporal Difference Learning algorithms, experiment featured in Towards Data Science

    Jupyter Notebook 4

  6. nlp_courses nlp_courses Public

    An open-source repository containing my NLP class' content

    Jupyter Notebook 2 8