📚 Resources & Past Talks

Table of Contents

1. Previous Sessions
2. Additional Resources
   1. 📖 Core Textbooks & References
   2. Datalab Past Reading Groups
3. Have a useful resource to share? Open an issue or PR on our GitHub repository!

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Previous Sessions

Materials from past reading group sessions will appear here as the group progresses.

Date	Topic	Presenter	Materials
—	—	—	—

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Additional Resources

📖 Core Textbooks & References

• Reinforcement Learning: An Overview (Kevin P. Murphy) — Our core reading group roadmap
• Reinforcement Learning: An Introduction (Sutton & Barto) — The foundational RL textbook
• Multi-Agent Reinforcement Learning: Foundations and Modern Approaches — Comprehensive MARL reference

Datalab Past Reading Groups

• Intro to ML
• Bayesian Data Science
• Probabilistic Machine Learning — Our predecessor reading group

Have a useful resource to share? Open an issue or PR on our GitHub repository!