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rl-slg's Introduction

Reinforcement learning for SLG game

麻辣星空的Agent工程,Agent部分由seraphli编写,Env部分由liyuan编写。

目录结构设置

agent: 存放agent相关代码

env: 对接游戏客户端,构建训练环境的代码

test: 功能测试代码,验证代码

code: 实际运行代码

Prerequisite

  1. Google Protobuf
  2. Redis

Install Command

pip install protobuf redis

安装

  1. 克隆工程
  2. 添加工程目录到环境变量PYTHONPATH中(可选)
  3. 复制一份config文件夹中的config.example.json,改名为config.json,然后修改里面的参数

测试

Windows

双击run_all_test.bat

其他环境

运行python run_all_test.py

rl-slg's People

Contributors

seraphli avatar

Watchers

James Cloos avatar

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