Search

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

RL study guide — foundations through RLHF, DPO, GRPO, RLVR, agentic RL, and offline RL. Hand-written CS294 notes, 34 lecture drafts, 9 tested exercises, citations that resolve.

Minimal and Clean Reinforcement Learning Examples

A curated list of Multi-Modal Reinforcement Learning resources (continually updated)

Developer Hub for NVIDIA Alpamayo, containing ready-to-use recipes for fine-tuning, reinforcement-learning post-training, quantization, and deployment.