《深入浅出强化学习:原理入门》高清PDF 源代码.zip
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所属分类:人工智能 > 深度学习
文件大小:53.57 MB
上传日期:2019/7/9 23:24:01
MD5:964b6d7b59************3ff5d111b8
资源说明:主要包括深入浅出强化学习:原理入门的高清pdf以及源代码。还包括gym的二次开发,《深入浅出强化学习:原理入门》用通俗易懂的语言深入浅出地介绍了强化学习的基本原理,覆盖了传统的强化学习基本方法和当前炙手可热的深度强化学习方法。开篇从最基本的马尔科夫决策过程入手,将强化学习问题纳入到严谨的数学框架中,接着阐述了解决此类问题最基本的方法——动态规划方法,并从中总结出解决强化学习问题的基本思路:交互迭代策略评估和策略改善。
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[资源合计] 文件夹:19,文件:50

# 文件名称 大小 最后修改时间
1 reinforcement-learning-code-master 0 Bytes 2019/5/15 18:58:57
2 reinforcement-learning-code-master\reinforcement-learning-code-master 0 Bytes 2019/5/15 18:58:57
3 reinforcement-learning-code-master\reinforcement-learning-code-master\第一讲 gym 学习及二次开发 0 Bytes 2019/5/15 18:58:57
4 reinforcement-learning-code-master\reinforcement-learning-code-master\第一讲 gym 学习及二次开发\best_qfunc 418 Bytes 2017/5/25 20:13:18
5 reinforcement-learning-code-master\reinforcement-learning-code-master\第一讲 gym 学习及二次开发\cartpole_notes.py 6.23 KB 2017/5/25 20:13:18
6 reinforcement-learning-code-master\reinforcement-learning-code-master\第一讲 gym 学习及二次开发\grid_mdp.py 5.84 KB 2017/5/25 20:13:18
7 reinforcement-learning-code-master\reinforcement-learning-code-master\第一讲 gym 学习及二次开发\learning_and_test.py 2.41 KB 2017/5/25 20:13:18
8 reinforcement-learning-code-master\reinforcement-learning-code-master\第一讲 gym 学习及二次开发\learning_cartpole.py 2.22 KB 2017/5/25 20:13:18
9 reinforcement-learning-code-master\reinforcement-learning-code-master\第一讲 gym 学习及二次开发\policynet.py 4.27 KB 2017/5/25 20:13:18
10 reinforcement-learning-code-master\reinforcement-learning-code-master\第一讲 gym 学习及二次开发\qlearning.py 3.01 KB 2017/5/25 20:13:18
11 《深入浅出强化学习:原理入门》高清PDF.pdf 57.58 MB 2018/11/21 0:17:17
12 源代码 0 Bytes 2019/5/15 18:58:57
13 源代码\深入浅出强化学习:原理入门 0 Bytes 2019/5/15 18:58:57
14 源代码\深入浅出强化学习:原理入门\reinforcement_learning_basic_book-master 0 Bytes 2019/5/15 18:58:57
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