1 code implementation • Machine Learning 1992 • Ronald J. Williams
This article presents a general class of associative reinforcement learning algorithms for connectionist networks containing stochastic units.
1 code implementation • 20 Feb 1986 • David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams
The rule, called the generalized delta rule, is a simple scheme for implementing a gradient descent method for finding weights that minimize the sum squared error of the system's performance.