此为ailearn人工智能算法包。包含了Swarm、EAS、Evaluation、RL四个模块。 Swarm模块当中，实现了粒子群算法、人工鱼群算法和萤火虫算法。 EAS模块当中，实现了进化策略。 Evaluation模块集成了一些对智能算法进行评估的常用待优化的函数。 RL模块包括两部分，TabularRL部分和Environment部分。 TabularRL部分集成了一些经典的强化学习算法，包括Q学习、Q(Lambda)、Sarsa、Sarsa(lambda)、Dyna-Q等。 Environment部分集成了一些强化学习经典的测试环境，如FrozenLake问题、CliffWalking问题、GridWorld问题等。
更新历史： 2018.4.10 0.1.3 第一个版本，首次实现了粒子群算法和人工鱼群算法，首次集成到pip当中。 2018.4.16 0.1.4 加入了进化策略的实现，添加了Evaluation模块。 2018.4.18 0.1.5 添加了TabularRL模块和Environment模块。 2018.4.19 0.1.8 将TabularRL模块和Environment模块整合为RL模块，添加了项目的相关描述,更新了相关协议 2018.4.25 0.1.9 输出信息由中文改为英文，并更新了一些已知错误 2019.1.15 0.2.0 添加了utils模块，加入了一些常用的功能，包括距离度量、评估函数、PCA算法、标签值与one-hot编码的相互转换、Friedman检测等等；添加了nn模块，加入了一些常用的激活函数及损失函数；更新了Swarm模块的算法，使它们更新得更快。
其他更新： 1.添加强化学习经典环境Windy GridWorld环境
项目网址： https://pypi.org/project/ailearn/ https://github.com/axi345/ailearn/
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Release files for ailearn 0.2.0.10
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