Policy Gradient Methods: Multiple Time Steps

Related lectures (30)

Page 3 of 3

Covers the theorem of finite increments in derivative functions.

Explores the conditions for a function to be continuous and differentiable.

Explores the connection between limit existence and function continuity, emphasizing derivative properties and function graphs.

Covers smooth piecewise arcs integration and the importance of closed paths.

Explores the theorems of continuity and derivative numbers, including strict monotonicity and the Newton ratio.

Covers deriving integrals with parameters and their derivatives, including special cases and proofs.

Covers the concepts of convexity and concavity in functions with examples.

Explores the conditions for continuity and differentiability of functions on a closed interval.

Demonstrates the derivation of a recursive expression for the derivative of R.

Covers differentials, linear approximations, and parametric function derivatives with examples and applications.