Are you ready to dive into the world of cooperative-competitive multi-agent interactive simulations? Then you’re in the right place! GoBigger-Explore is here to guide you through the setup and the intricacies of this powerful open-source code collection.

:rocket: Release Version

The current version for GoBigger-Explore is 0.4.0, showcasing the latest advancements and features.

:point_down: Getting Started

Before we jump into the installation and training processes, let’s check the required system environment:

• Core 32
• GPU (>= 16G)
• Memory 40G

Install the Necessary Packages

Now that we’ve ensured our system environment is suitable, it’s time to install GoBigger-Explore! Follow these steps:

git clone gitrepopath
cd bigger_rl
pip install -e .

Start Training

Training can be tackled in two ways: Serial and Parallel. Let’s explore both methods.

1. Serial Training

• Training:

  python -u -m bigrl.bin.serial_train --config absconfigpath

• Evaluation:

  python -u -m bigrl.bin.serial_eval --config absconfigpath

2. Parallel Training

• Training & Evaluation:

  python -u -m bigrl.single.worker.trainer.trainer --config absconfigpath

:dart: Results

Curious about the performance? Here are some results from the simulations:

RL Agent vs Bot (Without Cooperation)

Bot vs Bot

RL Agent vs Bot (With Cooperation)

:heart_eyes: Resources

You can find more details and source code at the official GoBigger Repository: GoBigger Repo.

:star: Join and Contribute

Welcome to the GoBigger community! You can join our discussions and contribute by scanning the QR code below or contacting us via:

• Slack
• Email: opendilab@pjlab.org.cn

:cocktail: License

GoBigger-Explore is released under the Apache 2.0 license, providing flexibility and freedom for modification and redistribution.

Troubleshooting

If you run into issues while installing or running GoBigger-Explore, consider the following tips:

• Ensure your system meets the necessary specifications mentioned above.
• Confirm that the correct version of Python and required packages are installed.
• Double-check your configuration path for accuracy.
• Refer to the community resources; sometimes, others have faced similar glitches!

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.