Reinforcement learning involves an agent learning optimal strategies in complex environments based on state rewards. This post discusses enhancing linear methods by incorporating more complex state feature interactions without leaving the linear optimization space. Methods such as polynomial features, Fourier basis, state
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Reinforcement Learning, Part 8: Feature State ConstructionAbout this articleIdea1. Polynomials2. Fourier basis3. State aggregation4. Radial basis functions*Nonparametric function approximationConclusionResourcesSort: