Author: Johnny D. Boggs
Publisher:
ISBN:
Category : Frontier and pioneer life
Languages : en
Pages : 308
Book Description
Arm of the Bandit
Author: Johnny D. Boggs
Publisher:
ISBN:
Category : Frontier and pioneer life
Languages : en
Pages : 308
Book Description
Publisher:
ISBN:
Category : Frontier and pioneer life
Languages : en
Pages : 308
Book Description
Introduction to Multi-Armed Bandits
Author: Aleksandrs Slivkins
Publisher:
ISBN: 9781680836202
Category : Computers
Languages : en
Pages : 306
Book Description
Multi-armed bandits is a rich, multi-disciplinary area that has been studied since 1933, with a surge of activity in the past 10-15 years. This is the first book to provide a textbook like treatment of the subject.
Publisher:
ISBN: 9781680836202
Category : Computers
Languages : en
Pages : 306
Book Description
Multi-armed bandits is a rich, multi-disciplinary area that has been studied since 1933, with a surge of activity in the past 10-15 years. This is the first book to provide a textbook like treatment of the subject.
Bandit Algorithms
Author: Tor Lattimore
Publisher: Cambridge University Press
ISBN: 1108486827
Category : Business & Economics
Languages : en
Pages : 537
Book Description
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Publisher: Cambridge University Press
ISBN: 1108486827
Category : Business & Economics
Languages : en
Pages : 537
Book Description
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Arm of the Bandit
Arm of the Bandit
Author: Johnny D. Boggs
Publisher: Penguin
ISBN: 1101220066
Category : Fiction
Languages : en
Pages : 336
Book Description
From a Spur Award–winning author of the Five Star Western Series comes a thrilling tale of James clan. Outlaws Frank and Jesse James eluded capture for 16 years and became folk heroes. In 1882, after Jesse was killed by Bob, Frank surrendered and faced trial for murder. How could Missouri convict a man so popular that the governor almost needed an appointment to visit him in jail? William Wallace had already imprisoned one member of the untouchable James Gang. Now his case rested on the word of a scoundrel and defied those who would kill to protect Frank James. The defense would paint the Shakespeare-quoting robber as an honorable family man and victim of mistaken identity, endlessly persecuted by the hated railroads. Inside an opera house, the circus like trial would decide if James senselessly murdered a young stonemason during the 1881 Winston train robbery. Perhaps the larger question was if Missouri was ruled by the arm of the law—or the arm of the bandit.
Publisher: Penguin
ISBN: 1101220066
Category : Fiction
Languages : en
Pages : 336
Book Description
From a Spur Award–winning author of the Five Star Western Series comes a thrilling tale of James clan. Outlaws Frank and Jesse James eluded capture for 16 years and became folk heroes. In 1882, after Jesse was killed by Bob, Frank surrendered and faced trial for murder. How could Missouri convict a man so popular that the governor almost needed an appointment to visit him in jail? William Wallace had already imprisoned one member of the untouchable James Gang. Now his case rested on the word of a scoundrel and defied those who would kill to protect Frank James. The defense would paint the Shakespeare-quoting robber as an honorable family man and victim of mistaken identity, endlessly persecuted by the hated railroads. Inside an opera house, the circus like trial would decide if James senselessly murdered a young stonemason during the 1881 Winston train robbery. Perhaps the larger question was if Missouri was ruled by the arm of the law—or the arm of the bandit.
Bandit Algorithms for Website Optimization
Author: John Myles White
Publisher: "O'Reilly Media, Inc."
ISBN: 1449341586
Category : Computers
Languages : en
Pages : 88
Book Description
When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success. This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website. Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithms Develop a unit testing framework for debugging bandit algorithms Get additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials
Publisher: "O'Reilly Media, Inc."
ISBN: 1449341586
Category : Computers
Languages : en
Pages : 88
Book Description
When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success. This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website. Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithms Develop a unit testing framework for debugging bandit algorithms Get additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials
Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
Author: Sébastien Bubeck
Publisher: Now Pub
ISBN: 9781601986269
Category : Computers
Languages : en
Pages : 138
Book Description
In this monograph, the focus is on two extreme cases in which the analysis of regret is particularly simple and elegant: independent and identically distributed payoffs and adversarial payoffs. Besides the basic setting of finitely many actions, it analyzes some of the most important variants and extensions, such as the contextual bandit model.
Publisher: Now Pub
ISBN: 9781601986269
Category : Computers
Languages : en
Pages : 138
Book Description
In this monograph, the focus is on two extreme cases in which the analysis of regret is particularly simple and elegant: independent and identically distributed payoffs and adversarial payoffs. Besides the basic setting of finitely many actions, it analyzes some of the most important variants and extensions, such as the contextual bandit model.
The Time Bandit
Author: Barry Cole
Publisher: barry cole
ISBN: 0993583156
Category : Juvenile Nonfiction
Languages : en
Pages : 66
Book Description
The story follows the adventures of two eleven year old children Lizzie and Sam when they discover a one-arm-bandit in an scrap yard where they had gone to hide from PC Goodrich. Eager to see if the machine worked, Sam pulls on the lever and, in the blink of an eye they are transported back in time to the burial of a Saxon King at Sutton Hoo. Relieved to find themselves safely returned to the scrap yard. their joy is short lived when they find PC Goodrich waiting there to apprehend them. But when the policeman spots the one arm bandit, unable to resist the temptation, PC Goodrich pulls down the handle. Instantly the trio are transported back in time to the banks of the Little Bighorn River in Montana at the very time that General Custer is making his famous last stand. With the seventh cavalry and the Indians locked in battle as it reaches its climax, before PC Goodrich can stop her, Lizzie suddenly rushes onto the battle-field, and without a thought for her own safety, she saves the life of a cavalry officers horse. Safely back in the scrap yard, thanks to the policeman's knowledge of American history, Lizzie learns that because of her bravery, the horse who's life she saved, would turn out to be the only survivor of the battle. But sadly there were to be no more time travel adventures, as a few weeks later the scrap yard was demolished, burying the one arm bandit under mounds of rubble. At least that's what Lizzie and Sam thought. But they were wrong. Thanks to a canny Scot named Hamish McGregor and his trusty old Transit van, the one arm bandit was in fact on its way up the A1 to Scotland.
Publisher: barry cole
ISBN: 0993583156
Category : Juvenile Nonfiction
Languages : en
Pages : 66
Book Description
The story follows the adventures of two eleven year old children Lizzie and Sam when they discover a one-arm-bandit in an scrap yard where they had gone to hide from PC Goodrich. Eager to see if the machine worked, Sam pulls on the lever and, in the blink of an eye they are transported back in time to the burial of a Saxon King at Sutton Hoo. Relieved to find themselves safely returned to the scrap yard. their joy is short lived when they find PC Goodrich waiting there to apprehend them. But when the policeman spots the one arm bandit, unable to resist the temptation, PC Goodrich pulls down the handle. Instantly the trio are transported back in time to the banks of the Little Bighorn River in Montana at the very time that General Custer is making his famous last stand. With the seventh cavalry and the Indians locked in battle as it reaches its climax, before PC Goodrich can stop her, Lizzie suddenly rushes onto the battle-field, and without a thought for her own safety, she saves the life of a cavalry officers horse. Safely back in the scrap yard, thanks to the policeman's knowledge of American history, Lizzie learns that because of her bravery, the horse who's life she saved, would turn out to be the only survivor of the battle. But sadly there were to be no more time travel adventures, as a few weeks later the scrap yard was demolished, burying the one arm bandit under mounds of rubble. At least that's what Lizzie and Sam thought. But they were wrong. Thanks to a canny Scot named Hamish McGregor and his trusty old Transit van, the one arm bandit was in fact on its way up the A1 to Scotland.
Gambling Devices
Author: United States. Congress. House. Committee on Interstate and Foreign Commerce
Publisher:
ISBN:
Category : Gambling
Languages : en
Pages : 320
Book Description
Publisher:
ISBN:
Category : Gambling
Languages : en
Pages : 320
Book Description
Algorithmic Learning Theory
Author: Yoav Freund
Publisher: Springer
ISBN: 3540879870
Category : Computers
Languages : en
Pages : 480
Book Description
This volume contains papers presented at the 19th International Conference on Algorithmic Learning Theory (ALT 2008), which was held in Budapest, Hungary during October 13–16, 2008. The conference was co-located with the 11th - ternational Conference on Discovery Science (DS 2008). The technical program of ALT 2008 contained 31 papers selected from 46 submissions, and 5 invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2008 was the 19th in the ALT conference series, established in Japan in 1990. The series Analogical and Inductive Inference is a predecessor of this series: it was held in 1986, 1989 and 1992, co-located with ALT in 1994, and s- sequently merged with ALT. ALT maintains its strong connections to Japan, but has also been held in other countries, such as Australia, Germany, Italy, Sin- pore, Spain and the USA. The ALT conference series is supervised by its Steering Committee: Naoki Abe (IBM T. J.
Publisher: Springer
ISBN: 3540879870
Category : Computers
Languages : en
Pages : 480
Book Description
This volume contains papers presented at the 19th International Conference on Algorithmic Learning Theory (ALT 2008), which was held in Budapest, Hungary during October 13–16, 2008. The conference was co-located with the 11th - ternational Conference on Discovery Science (DS 2008). The technical program of ALT 2008 contained 31 papers selected from 46 submissions, and 5 invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2008 was the 19th in the ALT conference series, established in Japan in 1990. The series Analogical and Inductive Inference is a predecessor of this series: it was held in 1986, 1989 and 1992, co-located with ALT in 1994, and s- sequently merged with ALT. ALT maintains its strong connections to Japan, but has also been held in other countries, such as Australia, Germany, Italy, Sin- pore, Spain and the USA. The ALT conference series is supervised by its Steering Committee: Naoki Abe (IBM T. J.