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: ryan.pegoud@outlook.com

• 📄 Learn more about my experiences on my portfolio

• 🤝 Connect with me on LinkedIn

Latest Blogs Posts

• Breaking down State-of-the-Art PPO Implementations in JAX
• A Gentle Introduction to Deep Reinforcement Learning in JAX
• Implementing a Transformer Encoder from Scratch with JAX and Haiku
• Vectorize and Parallelize RL Environments with JAX: Q-learning at the Speed of Light⚡
• Temporal-Difference Learning and the importance of exploration: An illustrated guide

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🕹️ Languages and Tools

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