Mdp

Reinforcement Learning: An Introduction

Notes

Mathematical RL fundamentals (MDPs, value functions, dynamic programming, approximate methods). RL foundational text that bridges theory and practice.

The AI Course: Everything is Utility Maximization

Intelligence as utility maximization under uncertainty — a unifying framework connecting A* search, reinforcement learning, Bayesian networks, and MDPs. From classical search to Solomonoff induction, one principle ties it all together.