Introduction to A, the 13th Olympian
A, the 13th Olympian is a project previously known as Astraea Intelligence.
It encompasses two parts, both research-heavy. Both white papers are available in the corresponding folders in the finder view.
The mission of A, the 13th Olympian is to encourage ML research without a formal PhD from home - don't just build tools, do R&D for stuff you love.
*And do spend time understanding the maths, it pays off in the end.
The first project is an AutoML PINN engine as OSS:
An open-source inverse O13 PINN Engine that takes governing equations & noisy sensor data, discovers unknown physical parameters in real-time and outputs physics-guaranteed dynamics models that drop into MPC/RL/state estimation pipelines.
Commercial layer provides managed compute, deployment, and continuous adaptation.
The second is the concept of Hierarchical Federated Multi-Agent RL (HFMARL), which has been adapted to a commercial use case of Energy Fleet Coordination for Virtual Power Plants (VPPs).
O13 Energy Fleet Coordination Platform is a coordination platform built on Hierarchical Federated Multi-Agent Reinforcement Learning (HFMARL) with physics-informed neural network (PINN) integration.
The platform treats VPP coordination as what it fundamentally is: a multi-agent problem where dozens of regional aggregators must learn, in real time, how to dispatch thousands of diverse assets to collectively deliver market commitments. Rather than replacing existing VPP infrastructure, the platform provides the intelligence layer that sits between market bidding and physical dispatch: it learns optimal coordination strategies through federated reinforcement learning, enforces physical constraints through embedded electrochemical and thermal models, estimates hidden asset health through inverse physics inference and preserves data privacy.
Contributions to OSS are welcome. For inquiries, write to mary@astraealabs.tech