init

.gitignore

+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# dotenv
+.env
+
+# virtualenv
+.venv
+venv/
+ENV/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.DS_Store
+
+# gitbook
+_book
+
+# node.js
+node_modules
+
+# windows
+Thumbs.db
+
+# word
+~$*.docx
+~$*.doc

404.html

+---
+permalink: /404.html
+---
+<script>window.location.href = '/';</script>

CNAME

+cs294-112.apachecn.org
\ No newline at end of file

README.md

+# UCB CS294-112 深度强化学习中文笔记
+
+> 作者：[谢天](https://www.zhihu.com/people/xie-tian-55-77)
+> 
+> 来源：[POST 馆](https://zhuanlan.zhihu.com/c_150977189)
+> 
+> 欢迎任何人参与和完善：一个人可以走的很快，但是一群人却可以走的更远。
+
+* [在线阅读](https://apachecn.github.io/ucb-cs294-112-notes-zh)
+* [ApacheCN 机器学习交流群 629470233](http://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef)
+* [ApacheCN 学习资源](http://www.apachecn.org/)

SUMMARY.md

++   [UCB CS294-112 深度强化学习中文笔记](README.md)
++   [(1) 简介](docs/1.md)
++   [(2) 模仿学习](docs/2.md)
++   [(3) 增强学习简介](docs/3.md)
++   [(4) 策略梯度法](docs/4.md)
++   [(5) 演员-评论家算法](docs/5.md)
++   [(6) 基于值函数的方法](docs/6.md)
++   [(7) 深度增强学习中的 Q 学习方法](docs/7.md)
++   [(8) 最优控制与规划](docs/8.md)
++   [(9) 用数据拟合模型](docs/9.md)
++   [(10) 基于模型的增强学习的策略训练](docs/10.md)
++   [(11) 概率图模型与软化增强学习](docs/11.md)
++   [(12) 逆增强学习](docs/12.md)