Abstract: Deep Reinforcement Learning (DRL) allows agents to make decisions in a specific environment based on a reward function, without prior knowledge. Adapting hyperparameters significantly ...

Recent research found that 90% of senior insurance professionals in the U.K. and Europe expect end-to-end claims ...

Since the discovery of superconductivity in twisted bilayer graphene in 2018, moiré superlattices have emerged as an important platform for controlling electronic states in two-dimensional (2D) ...

This review aims to provide a comprehensive evaluation of the dynamics of the double pendulum, with a particular emphasis on its chaotic behavior. It examines the complicated and unpredictable ...

Abstract: With the current booming applications of virtual reality, augmented reality, and robotics, efficiently extracting the maximum consensus set among large-scale corrupted data has become a ...

How TriX resolves the Neuro-Symbolic paradox by turning Neural Networks into Compilers. For the last decade, Artificial Intelligence has been wrapped in a "Probabilistic Prose." We have built ...

Fluorescence microscopy enables the visualization of cellular morphology, molecular distribution, ion distribution, and their dynamic behaviors during biological processes. Enhancing the ...

Interactive C-based application for solving and visualizing the Tower of Hanoi problem. Features recursive and iterative algorithms with graphical representation using the Raylib library, and ...

Department of Chemistry, University of Florida, Gainesville, Florida 32611, United States Quantum Theory Project, University of Florida, Gainesville, Florida 32611, United States Laufer Center for ...

Aiming at the poor robustness and adaptability of traditional control methods for different situations, the deep deterministic policy gradient (DDPG) algorithm is improved by designing a hybrid ...