opendilab / Gobigger-Explore

Still struggling with the high threshold or looking for the appropriate baseline? Come here and new starters can also play with your own multi-agents!

GoBigger-Explore

EN

GoBigger-Explore is an open source code collection in the article "GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation" of ICLR 2023.

Outline

• Release Version
• Getting Start
• Result
• Resources
• Join and Contribute
• License

🚀 Release Version

The current version is the latest version 0.4.0.

👇 Getting Start

System environment

• Core 32
• GPU (>=16G)
• Memory 40G

Install the necessary package

git clone git/repo/path
cd bigger_rl
pip install -e .

Start training

1. Serial Training(DQN、PPO、MAPPO、QMix、VMix、COMA)

• Train

  python -u -m bigrl.bin.serial_train  --config abs/config/path
  

• Evaluation

  python -u -m bigrl.bin.serial_eval  --config abs/config/path
  

2. Parallel Training(IMPALA + Alphastar_Loss + League Training)

• Train && Evaluation

  python -u -m bigrl.single.worker.trainer.trainer  --config abs/config/path
  

Results

• RL Agent vs Bot (Without cooperation)
• Bot vs Bot
• RL Agent vs Bot (With cooperation)

😍 Resources

• GoBigger Repo Github Link

⭐ Join and Contribute

Welcome to OpenDI Lab GoBigger community! Scan the QR code and add us on Wechat:

Or you can contact us with slack or email ([e-mail]).

🍸 License

GoBigger-Explore released under the Apache 2.0 license.