Finally face-to-face with his ultimate nemesis, Naruto finds out there's way more to the true Pain than he could have ever imagined. As the consequences of the tumultuous politics of the past come to light, an unexpected turn of events puts a new ninja in power in Konoha. And the first act by the new leader will change Naruto's world forever. -- VIZ Media
Naruto is a young shinobi with an incorrigible knack for mischief. Naruto is a young shinobi with an incorrigible knack for mischief. He’s got a wild sense of humor, but Naruto is completely serious about his mission to be the world’s greatest ninja! Naruto’s friends are tested as an attempt to overthrow Tsunade begins and they must all fight—or fall. Pain commences with the final destruction of Konoha, and Naruto and the Toads prepare to take him on in battle. Naruto inches ever closer to discovering Pain’s true identity, but is it worth it now that he’s morphing into the dreaded Nine Tails? Then, an unexpected confession reveals incredible secrets about his past as Naruto prepares for the ultimate battle with Pain. Can the chakra-challenged Naruto win when one misstep could spell disaster?
Covering genres from action/adventure and fantasy to horror, science fiction, and superheroes, this guide maps the vast and expanding terrain of graphic novels, describing and organizing titles as well as providing information that will help librarians to build and balance their graphic novel collections and direct patrons to read-alikes. • Introduces users to approximately 1,000 currently popular graphic novels and manga • Organizes titles by genre, subgenre, and theme to facilitate finding read-alikes • Helps librarians build and balance their graphic novel collections
Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic.