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Show HN: Panopticon AI – Open-source platform for military AI research (github.com/panopticon-ai-team)
7 points by lukechen26 36 days ago | hide | past | favorite | 5 comments
Hi HN,

I’m sharing a project I’ve been working on: Panopticon AI, an open-source platform designed for researchers in military modeling and simulations. It’s web-based, integrates with OpenAI Gym, and is intended to support advancements in military AI through realistic simulations, wargaming, and reinforcement learning.

The project is still under active development, and I’m looking for contributors to help shape its direction. It’s released under the Apache 2.0 license, so anyone can use, modify, or contribute to it.

What Panopticon AI Offers: - A simulation environment that is browser-based for creating and editing scenarios. - Runs on Python to support training agents. - Utilizes Stable Baselines for reinforcement learning. - Basic data included, with a focus on Air Force scenarios.

Why I Built This: There’s a lack of open-source tools tailored for military AI research, and many existing solutions are proprietary or inaccessible. My goal is to lower the barrier for academics, researchers, and smaller organizations to explore this space and innovate.

How You Can Help: - Try out the platform and share your feedback or ideas for improvement. - Contribute to the codebase or documentation on GitHub. - Suggest or help implement new features and use cases.

If this aligns with your interests, check out the links above or comment below. I’d love to hear your thoughts and see how we can make this project even better together!

docs.panopticon-ai.com app.panopticon-ai.com




This is very interesting. I'll most definitely read the docs and repository - thanks for sharing.


Great! If you can, please star our repo too and you can put any questions in the discussions section. I monitor it daily.


For sure brother - I starred and forked repository.


This is brilliant. Excited to dive in and understand how it works.


thank you! let me know if you have any questions - you can post directly on the discussion board in github




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