Abstract: For on-policy reinforcement learning (RL), discretizing action space for continuous control can easily express multiple modes and is straightforward to optimize. However, without considering ...

Abstract: The compensation process for the state of polarization (SOP) from quantum signal plays an important role in the practical implementation of continuous-variable quantum key distribution ...

The relative frequency definition of probability says: If an experiment is repeated, the probability of an event (a specified outcome of the experiment) is the relative frequency of occurrence of that ...

Probability and Statistics: Mean, median, mode and standard deviation; Random variables; Poisson, normal and binomial distributions; Correlation and regression analysis ... Structured and unstructured ...

Data readiness assessment is an important preparatory analysis that often complements discovery but it is narrower in scope. It evaluates data quality, availability, and governance, while the ...

In February 2024, a shipwreck off Tobago caused a significant surface oil spill, highlighting the need for accurate modeling ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...

Combined testing uptake (HCV RDT or HCV RDT/RNA) was higher for the community-based strategy than for the facility-based ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

So, you’ve probably heard about quantum computers, right? They sound super futuristic, like something out of a ...