Journal ArticleDOI
A comparison and evaluation of three machine learning procedures as applied to the game of checkers
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TLDR
Two new machine learning procedures used to arrive at “knowledgeable” static evaluators for checker board positions are presented and are found to perform about equally well, despite the relative simplicity of the second.About:
This article is published in Artificial Intelligence.The article was published on 1974-06-01. It has received 24 citations till now. The article focuses on the topics: Polynomial.read more
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Book
Reinforcement Learning: An Introduction
TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Journal ArticleDOI
Practical Issues in Temporal Difference Learning
TL;DR: It is found that, with zero knowledge built in, the network is able to learn from scratch to play the entire game at a fairly strong intermediate level of performance, which is clearly better than conventional commercial programs, and which surpasses comparable networks trained on a massive human expert data set.
Journal ArticleDOI
Expected-outcome: a general model of static evaluation
TL;DR: Overall, the expected-outcome model of two-player games is shown to be precise, accurate, easily estimable, efficiently calculable, and domain-independent.
Book ChapterDOI
TD-Gammon: A Self-Teaching Backgammon Program
TL;DR: This chapter describes TD-Gammon, a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results, and is apparently the first application of this algorithm to a complex nontrivial task.
Journal ArticleDOI
The development of a world class Othello program
Kai-Fu Lee,Sanjoy Mahajan +1 more
TL;DR: An Othello program, BILL, is described that has far surpassed the generation of O thello programs represented by IAGO and is applied Bayesian learning to combine features in BILL's evaluation function.
References
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Journal ArticleDOI
The behavior of organisms : an experimental analysis
TL;DR: This is likewise one of the factors by obtaining the soft documents of this the behavior of organisms an experimental analysis by online as mentioned in this paper. But it will utterly squander the time of searching for them.
Journal ArticleDOI
Some studies in machine learning using the game of checkers
TL;DR: In this article, two machine learning procedures have been investigated in some detail using the game of checkers, and enough work has been done to verify the fact that a computer can be programmed so that it will lear...
Dissertation
Learning Structural Descriptions From Examples
TL;DR: In this paper, the authors propose a method to solve the problem of energy efficiency in the context of electrical engineering, and demonstrate that it can be achieved by using energy minimization techniques.
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