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Hi 👋, I'm Ryan

  • 🔭 I’m currently working as Part-Time Professor in NLP @EPF Engineering School

  • 🌱 Ongoing projects:

    • Independent research on optimal prioritization of replay buffers, reference: Large Batch Experience Replay, Lahire et al. ICML 2022.
    • 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


Ryan Pégoud's Projects

flashbax icon flashbax

⚡ Flashbax: Accelerated Replay Buffers in JAX

healthbar icon healthbar

Nutrition Web App using Flutter and Firebase

jab icon jab

A collection of foundational Deep Learning models implemented in JAX

jym icon jym

JAX implementation of RL algorithms and vectorized environments

neat-jax icon neat-jax

JAX implementation of NeuroEvolution of Augmenting Topologies (Neat)

nlp_courses icon nlp_courses

An open-source repository containing my NLP class' content

purejaxrl icon purejaxrl

Really Fast End-to-End Jax RL Implementations

rpegoud icon rpegoud

Config files for my GitHub profile.

stoix icon stoix

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

syllabus icon syllabus

Synchronized Curriculum Learning for RL Agents

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