官术网_书友最值得收藏!

Preface

Reinforcement learning (RL) allows you to develop smart, quick, and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in artificial intelligence—from games, self-driving cars, and robots to enterprise applications that range from data center energy saving (cooling data centers) to smart warehousing solutions.

The book covers the major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. The book also introduces readers to the concept of Reinforcement Learning, its advantages and why it's gaining so much popularity. It discusses MDPs, Monte Carlo tree searches, policy and value iteration, temporal difference learning such as Q-learning, and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing, and NLP.

By the end of this book, you will have a firm understanding of what reinforcement learning is and how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym.

主站蜘蛛池模板: 石渠县| 上饶县| 班玛县| 达拉特旗| 大足县| 婺源县| 宜兰县| 保山市| 天台县| 盐池县| 若尔盖县| 象山县| 平利县| 新化县| 溧阳市| 甘孜县| 鸡西市| 中卫市| 多伦县| 通许县| 峨边| 依兰县| 巴青县| 嘉黎县| 进贤县| 大方县| 康乐县| 阿拉善左旗| 永善县| 天等县| 礼泉县| 黑山县| 孙吴县| 新竹市| 盐池县| 广汉市| 潜江市| 弋阳县| 镇平县| 南阳市| 罗城|