Game Theory & Decision Systems
Research on strategic decision-making under uncertainty.

Decision Systems & Probabilistic Models
Research on strategic decision-making under uncertainty.
Self-play training systems, policy optimization, and multi-agent learning for complex sequential decision problems and strategic environments.
Deep learning architectures for function approximation, pattern recognition, and strategy representation in high-dimensional state spaces.
Scalable computing infrastructure for game solving, real-time strategy computation, and decision support systems at scale.
We conduct independent research in machine learning, neural networks, and AI systems. Our work spans theoretical foundations to practical applications in decision-making systems, including game theory and competitive strategy optimization.
In a zero-sum game, rational players will eventually converge to a Nash equilibrium where no player can improve by unilaterally changing strategy.
QORE is a private research lab focused on decision systems and game theory. We are not a service provider and do not accept freelance work, consulting requests, or unsolicited project proposals.
For institutional inquiries, research collaboration, or strategic partnership opportunities in our domain, you may reach out via email. Response is not guaranteed.