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Curated Reading Paths
Reinforcement Learning for LLMs
From RL foundations through PPO, GRPO, and GDPO to the GRPO family map — the complete policy optimization series.
View series landing page →Contextual Bandits
A 5-part series from decision framework to production deployment.
- Part 1: The Decision Framework
- Part 2: Theory & Regret Bounds
- Part 3: Algorithm Guide
- Part 4: Neural Bandits
- Part 5: Production Deployment
Recommendation Systems
From contextual bandits for personalization to retrieval-augmented generation.
Foundations
Reference explainers covering the building blocks of modern ML. Start with the Transformer Internals series — written alongside RLVR from Scratch, where every component is implemented and tested from raw tensors.
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