Policy Gradient Methods: Multiple Time Steps

Related lectures (30)

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Covers linear approximation, parametric derivatives, and differentiability conditions on intervals.

Explores the derivative of a function, covering rules for deriving sums, products, and quotients.

Explains partial derivatives, Hessienne matrix, and their properties.

Covers the calculation of a specific integral using properties of logarithmic functions.

Covers properties of logarithms, power functions, and their derivatives, with examples illustrating key concepts.

Introduces functions with real values, derivatives, and the Jacobian matrix, along with compound functions and variable change applications.

Covers the demonstration of the chain rule and the theorem of Rolle.

Explores invertible matrices, injective functions, and the theory of reciprocal functions.

Discusses the continuity of the derivative function and presents a counterexample of a function that is not necessarily continuous.

Covers the rules of derivation and how to calculate derivatives.