MARC状态：审校 文献类型：西文图书 浏览次数：97
- 题名/责任者:
- Deep reinforcement learning hands-on = 深度强化学习实践 / Maxim Lapan著.
- 出版发行项:
- 南京 : 东南大学出版社, 2019.
- ISBN:
- 9787564183219
- 载体形态项:
- xvi, 523 pages : illustrations ; 24 cm.
- 变异题名:
- 深度强化学习实践
- 个人责任者:
- Lapan, Maxim, author.
- 论题主题:
- Reinforcement learning.
- 论题主题:
- Machine learning.
- 论题主题:
- Artificial intelligence.
- 中图法分类号:
- TP181
- 书目附注:
- Includes bibliographical references and index.
- 内容附注:
- What is reinforcement learning? -- OpenAI Gym -- Deep learning with Py Torch -- The cross-entropy method -- Tabular learning and the bellman equation -- Deep Q-networks -- DQN extensions -- Stocks trading using RL -- Policy gradients : an alternative -- The actor-critic method -- Asynchronous advantage actor-critic -- Chatbots training with RL -- Web navigation -- Continuous action space -- Trust regions : TRPO, PPO, and ACKTR -- Black-box optimization in RL -- Beyond model-free : imagination -- AlphaGo Zero.
- 原版附注:
- Reprint.Originally published: Birmingham : Packt Publishing Ltd., c2018. 9781788834247.
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