a book about love

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while inte...(展开全部)

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while inte...(展开全部)

简·奥默罗德（JanOrmerod） 澳大利亚图画书作家。1946年出生于班伯里。童年时就沉浸在艺术创作中，对美国漫画尤为喜爱。她从珀斯的一家艺术学院毕业后，曾在中学教艺术学等课程，深谙孩子的心理。简善于观察细节，其作品往往取材于日常生活，以细腻的情感赢得广大读者的赞赏和喜爱。多年来，简获得了多种奖项。仅其创作的第一本图画书《阳光》，就获得1981年英国凯特·格林纳威大奖提名、1982年英国鹅妈妈奖等诸多荣誉。代表作有《阳光》《月光》《水巫》等。

In this award-winning wordless picture book, young ones follow a little girl as she goes throughout her day. Charming illustrations show the first rays of morning light shining into the little girl’s bedroom, waking her up. She goes about her morning routine and watches as her parents do the same. She eats cereal, climbs in bed with mom and dad as they read the paper and drink ...(展开全部)

Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms.The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL.By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems.This Learning Path includes content from the following Packt products:Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran.Python Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa Shanmugamani.

Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms.The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL.By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems.This Learning Path includes content from the following Packt products:Hands-On Reinforcement Learning with Python by Sudharsan Ravichandiran.Python Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa Shanmugamani.

いつだって、この出会いは必然だった―― 第24回電撃小説大賞《金賞》受賞作! ――これは僕が失った、二百十四回にも及ぶ一週間の恋の話。 そして、わたしが手にした、四年に及ぶ一度きりの恋の話。 「ねえ、由くん。わたしはあなたが――」 初めて聞いたその声に足を止める。学校からの帰り道。中学のグラウンドや、駅前の本屋。それから白い猫が眠る空き地の中で、なぜだか僕のことを知っている不思議な少女・椎名由希は、いつもそんな風に声をかけてきた。 笑って、泣いて、怒って、手を繋いで。 僕たちは何度も、消えていく思い出を、どこにも存在しない約束を重ねていく。 だから、僕は何も知らなかったんだ。 由希が浮かべた笑顔の価値も、零した涙の意味も。たくさんの「初めまして」に込められた、たった一つの想いすら。 ――これは残酷なまでに切なく、心を捉えて離さない、出会いと別れの物語...(展开全部)

★重複不斷的時光，編織著難以言喻的愛戀。 ★悲傷到接近殘酷，讓人揪心不已，關於相遇與離別的故事。 ★第24屆電擊小說大賞《金賞》作品登場！ ★首刷限定，隨書附贈4P特典小冊子！ 「吶，小由。我──」 一道初次耳聞的聲音，讓我停下腳步。 在從學校回家的路上、國中操場上、 車站前的書店，或是某隻白貓沉睡的空地上， 不知為何認識我的神祕少女──椎名由希，總會像這樣向我搭話。 歡笑、哭泣、生氣、牽手。 我們不斷累積終將消失的回憶，立下許多不存在的約定。 所以，我一無所知。 無論是浮現在由希臉上的笑容的價值、流下的眼淚的意義， 還是包含在無數次「初次見面」當中的唯一一份心意。 這是一個悲傷到接近殘酷，讓人揪心不已，關於相遇（春）與離別（雪）的故事。 ©AYA HAZUKI 2018

★重複不斷的時光，編織著難以言喻的愛戀。 ★悲傷到接近殘酷，讓人揪心不已，關於相遇與離別的故事。 ★第24屆電擊小說大賞《金賞》作品登場！ ★首刷限定，隨書附贈4P特典小冊子！ 「吶，小由。我──」 一道初次耳聞的聲音，讓我停下腳步。 在從學校回家的路上、國中操場上、 車站前的書店，或是某隻白貓沉睡的空地上， 不知為何認識我的神祕少女──椎名由希，總會像這樣向我搭話。 歡笑、哭泣、生氣、牽手。 我們不斷累積終將消失的回憶，立下許多不存在的約定。 所以，我一無所知。 無論是浮現在由希臉上的笑容的價值、流下的眼淚的意義， 還是包含在無數次「初次見面」當中的唯一一份心意。 這是一個悲傷到接近殘酷，讓人揪心不已，關於相遇（春）與離別（雪）的故事。 ©AYA HAZUKI 2018