DI-engine-docs - Introduction to Decision Intelligence and Reinforcement Learning Resources

Welcome to DI-engine Docs

DI-engine Docs is a comprehensive educational resource brought to you by OpenDILab, designed to facilitate the learning of Decision Intelligence and its practical application through DI-engine. The documentation serves as a supportive tool for newcomers and seasoned practitioners alike, providing an accessible pathway into the nuances of this engineering discipline.

What is Decision Intelligence?

For those unfamiliar, Decision Intelligence is a burgeoning field that enhances traditional data science by incorporating elements from social science, decision theory, and managerial science. This interdisciplinary approach aids in making more informed and effective decisions based on data-driven insights.

What You'll Find in the Documentation

DI-engine Docs covers a variety of topics crucial for anyone interested in Decision Intelligence and reinforcement learning:

Introduction to DI-engine: A preliminary guide to understanding how DI-engine operates and its role within the larger Decision Intelligence landscape.
Concepts of Reinforcement Learning: An insightful essay dedicated to explaining the foundational ideas behind reinforcement learning, a crucial component of artificial intelligence.
Classification of Reinforcement Learning Algorithms: A detailed overview of various reinforcement learning algorithms, providing a structured classification that aids in the learning process.
Reinforcement Learning Algorithms Cheat Sheet: A curated list of algorithms organized by learning methods, making it easier to understand and apply the right techniques.
Environment Examples: Key examples of environments often used in conjunction with reinforcement learning algorithms, helping learners grasp practical applications.
Tutorial Series: Step-by-step guides on how to integrate your own environment with DI-engine, aimed at providing hands-on experience.
API Documentation: Fundamental API documentation that acts as a warm-up for users who are new to interacting with the DI-engine system.

Getting Started with Local Docs Generation

If you're keen on accessing the documentation offline or contributing to it, DI-engine Docs offers a simple way to generate local documentation:

Installation: Install necessary requirements using Python's pip.
```
pip install -r requirements.txt
```
Compile Manuals: Make use of the make command to compile the documentation.
```
make live
```
Explore Locally: Visit http://127.0.0.1:8000 in your web browser to explore the compiled documentation.

Citing DI-engine-docs

For academic or research purposes, you might need to cite DI-engine-docs. Here’s a simple citation:

@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},
}

Get in Touch

Questions, suggestions, or issues with the documentation can be addressed by contacting the team at [email protected] or by adding an issue in their GitHub repository.

License

DI-engine Docs is released under the Apache 2.0 license, ensuring open access and contribution to its continuous improvement.

Explore the world of Decision Intelligence with DI-engine Docs and enhance your understanding and application of this dynamic technology.