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Learning to solve sequential decision-making tasks is difficult. Humans take years exploring the environment essentially in a random way until they are able to reason, solve difficult tasks, and collaborate with other humans towards a common goal. Artificial Intelligent agents are like humans in this aspect. Reinforcement Learning (RL) is a well-known technique to train autonomous agents through interactions with the environment. Unfortunately, the learning process has a high sample complexity to infer an effective actuation policy, especially when multiple agents are simultaneously actuating in the environment. However, previous knowledge can be leveraged to accelerate learning and enable s...
A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
This in-depth tutorial for students, researchers, and developers covers foundations, plus applications ranging from search to multimedia.
Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche ...
In a 16-year career spent with Chelsea and Southampton, goal-scoring legend Peter Osgood made 560 appearances, scoring 220 goals and winning two FA Cup-winner's medals. He was part of the victorious Chelsea side that defeated the mighty Real Madrid in the 1971 European Cup-Winners Cup final and is the last player to have scored in every round of the FA Cup, including the final. Ossie tells the story of the career and the extraordinary roller-coaster personal life of the man who spearheaded a team that made as many headlines off the field as on. The truth about the hard-drinking and hard-living antics of these Kings Road dandies - Hudson, Cooke, Baldwin and company - has never before been tol...
This volume contains a portion of the proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. The conference was held in New York, NY, USA, from 9-15 July 2016.
Essays on the history of HBO, a company designed to please audiences instead of advertisers, and the impact of its distinctive programming: “Recommended.” —Choice The founding of Home Box Office in the early 1970s—when it debuted by telecasting a Paul Newman movie and an NHL game to 365 households in Wilkes-Barre, Pennsylvania—was a harbinger of the innovations that would transform television as an industry and a technology in the decades that followed. HBO quickly became synonymous with subscription television—and the leading force in cable programming. Over decades, it’s grown from a domestic movie channel to an international powerhouse with a presence in over seventy countri...
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