AI Algorithm Path

May 25, 2025 · Artificial Intelligence

Reinforcement Learning Tutorial 7: Introducing Value Function Approximation Methods

This article explains why tabular reinforcement‑learning methods scale poorly, introduces supervised‑learning‑based value‑function approximation using a parameterized vector w, discusses loss design, stochastic‑gradient updates, bootstrapping, semi‑gradient techniques, and linear function approximation, and summarizes practical implications.