An Introduction to Universal Artificial Intelligence provides the formal underpinning of what it
means for an agent to act intelligently in an unknown environment. First presented in …

In this research, we extend the universal reinforcement learning agent models of artificial
general intelligence to quantum environments. The utility function of a classical exploratory …

In this research we study quantum computing algorithms for accelerating causal inference.
Specifically, we investigate the formulation of causal hypothesis testing presented in [Nat …

To achieve true artificial intelligence would be to mimic the human brain. Some have
espoused that current systems that we call AI today are nothing more than if-else statements …

Abstract The field of Quantum Reinforcement Learning (QRL) has gained much attention in
recent years within the domain of artificial intelligence (AI) and machine learning (ML). With …

In this work, we study quantum computing algorithms for accelerating causal inference.
Specifically, we extend the formulation of causal hypothesis testing presented in [Nat …