Easy to use function that builds a piecewise linear function approximating function f of two variables with approximation error err on domain domain. See [1] for more details.

In this paper we propose a novel distributed gradient-based two-time-scale algorithm for multi-agent off-policy learning of linear approximation of the optimal action-value function (Q-function) in ...

We consider two-time-scale stochastic approximation for finding the solution of a linear system of two equations. Such methods have found broad applications in many areas, especially in machine ...

When we study the oscillation, of a physical system near its equilibrium and ignore dissipative effects, we may assume it is a linear Hamiltonian system (H-system), which possesses a special ...

This article describes three approximation methods I used to solve the growth model (Model 1) studied by the National Bureau of Economic Research's nonlinear rational-expectations-modeling group ...