Books I Find Interesting

Reinforcement Learning: An Introduction Core

Richard Sutton & Andrew Barto

The foundational book for reinforcement learning.

Reinforcement Learning: Theory and Algorithms Advanced

Alekh Agarwal,Kianté Brantley,Nan Jiang,Sham M. Kakade, Wen Sun

Advanced theoretical treatment for reinforcement learning.

Reinforcement Learning: Foundations Advanced

Shie Mannor, Yishay Mansour, and Aviv Tamar

Rigorous and self-contained theoretical introduction to reinforcement learning

Understanding Machine Learning Theory

Shai Shalev-Shwartz & Shai Ben-David

A rigorous theoretical introduction to machine learning.

Information Theory: From Coding to Learning Advanced

Yihong Wu & Yury Polyanskiy

Bridges information theory with modern learning problems.

Convex Optimization Core

Boyd & Vandenberghe

Essential for understanding optimization in ML.

Deep Learning Reference

Goodfellow, Bengio, Courville

Comprehensive deep learning reference book.