Gradient
Gradient-based methods (policy gradient methods) start with a mapping from a finite-dimensional (parameter) space to the space of policies: given the parameter vector 



θ


{\displaystyle \theta }

, let 




π

θ




{\displaystyle \pi _{\theta }}

 denote the policy associated to 



θ


{\displaystyle \theta }

. Defining the performance function by
