The author presents a rapidly convergent algorithm to solve the general portfolio problem of maximizing concave utility functions subject to linear constraints. The algorithm is based on an iterative ...

This paper describes a simple algorithm for the solution of very large sequence problems without the use of a computer. It produces approximate solutions to the n job, m machine sequencing problem ...

We introduce a simple algorithmic sampling method for choosing crossing-sets; we name the algorithm SPREAD (Selection of Pairings Reaching Evenly Across the Data).

This book explains how simple algorithms can be applied to our everyday lives, helping to solve common decision-making problems.

This AI Algorithm Learns Simple Tasks as Fast as We Do Software that learns to recognize written characters from just one example may point the way towards more powerful, more humanlike artificial ...

In this article, I want to provide a simple guide that explains reinforcement learning and give you some practical examples of how it is used today.