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Updated on 2021.08.03 DI-engine-v0.1.1 (beta)

Introduction to DI-engine (beta)

DI-engine is a generalized Decision Intelligence engine. It supports most basic deep reinforcement learning (DRL) algorithms, such as DQN, PPO, SAC, and domain-specific algorithms like QMIX in multi-agent RL, GAIL in inverse RL, and RND in exploration problems. Various training pipelines and customized decision AI applications are also supported. Have fun with exploration and exploitation.

Application

• DI-star
• DI-drive

System Optimization and Design

• DI-orchestrator
• DI-hpc
• DI-store

Other

• DI-engine-docs
• treevalue (preview)

Installation

You can simply install DI-engine from PyPI with the following command:

pip install DI-engine

If you use Anaconda or Miniconda, you can install DI-engine from conda-forge through the following command:

conda install -c opendilab di-engine

For more information about installation, you can refer to installation.

Documentation

The detailed documentation are hosted on doc(中文文档).

Quick Start

3 Minutes Kickoff

3 Minutes Kickoff(colab)

3分钟上手中文版(kaggle)

Bonus: Train RL agent in one line code:

ding -m serial -e cartpole -p dqn -s 0

Contributing

We appreciate all contributions to improve DI-engine, both algorithms and system designs. Please refer to CONTRIBUTING.md for more guides.

Citation

@misc{ding,
    title={{DI-engine: OpenDILab} Decision Intelligence Engine},
    author={DI-engine Contributors},
    publisher = {GitHub},
    howpublished = {\url{https://github.com/opendilab/DI-engine}},
    year={2021},
}

License

DI-engine released under the Apache 2.0 license.