May 27, 2025 · Artificial Intelligence

Reinforcement Learning Tutorial 8: Building State Feature Representations for Objective Optimization

This tutorial explains how to construct state feature vectors for reinforcement‑learning value‑function approximation, covering linear, polynomial, Fourier, and radial‑basis representations, as well as state aggregation techniques such as coarse coding and tile coding, and discusses non‑parametric approaches like kernel methods.

Reinforcement Learningfeature engineeringfourier basis

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Reinforcement Learning Tutorial 8: Building State Feature Representations for Objective Optimization