Scientific Repository v4.0
Frontier Intelligence
& Synthetic Architecture.
01Reinforcement Learning
Our core focus lies in the optimization of Multi-Agent RL (MARL) environments, where emergent cooperation and competition provide the framework for autonomous negotiation protocols.
By leveraging RLOO (Relative Least-Squares Online Optimization), we have achieved a 40% reduction in convergence time for high-dimensional action spaces.
Neural Sync Active
Research Archive
01.04.26
Asynchronous Gradient Descent in Super-Large Scale MARL
Peer Reviewed
12.02.26
Sub-Kelvin Noise Reduction in Hybrid Variational Circuits
Technical Note
28.01.26
Kinematic Stability in Variable Density Fluid Environments
Whitepaper