Mdp

Reinforcement Learning: An Introduction

Notes

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

Everything is Utility Maximization

The AI course this semester keeps hammering one idea: intelligence is utility maximization under uncertainty. A* search, reinforcement learning, Bayesian networks, MDPs. One principle connects all of it.