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This is an educational resource produced by OpenDILab that makes it easier to learn about Decision Intelligence and DI-engine.
For the unfamiliar: Decision Intelligence is an engineering discipline that augments data science with theory from social science, decision theory, and managerial science.
This documentation contains a variety of helpful resources, including:
- an introduction about DI-engine | DI-engine 介绍
- an essay about important Concepts of reinforcement learning ｜ 强化学习重要概念
- a classification of reinforcement learning algorithms | 强化学习算法分类
- a curated list of reinforcement learning algorithms cheat sheet organized by learning methods ｜ DI-engine实现的强化学习算法
- an environment example often used by reinforcement learning algorithm ｜ 强化学习算法常用环境示例
- a series of tutorials on how to migrate your own environment to DI-engine ｜ 如何将自己的环境迁移到DI-engine
- some API documentation to serve as warm-ups ｜ API 文档
# step 1: install
pip install -r requirements.txt
# step 2: compile docs
make live
# step 3: open http://127.0.0.1:8000 in your browser, and explore it!@misc{ding,
title={{DI-engine-docs: OpenDILab} Decision Intelligence Engine Document},
author={DI-engine-docs Contributors},
publisher = {GitHub},
howpublished = {\url{https://github.com/opendilab/DI-engine-docs}},
year={2021},
}If you have any questions about documentation, please add a new issue or contact [email protected]
DI-engine-Docs released under the Apache 2.0 license