Foundational textbook for reinforcement learning.
Graduate-level course covering modern RL.
Hands-on introduction to deep RL.
Comprehensive ML course from Stanford.
Great starting point for ML fundamentals.
Essential for understanding optimization in ML.
Strong foundation for ML mathematics.
Key paper on RLHF and LLM alignment.
Hands-on guide to modern NLP and LLMs.