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 ...
This article covers an example of the application of the QAOA algorithm for asset allocation using portfolio optimization and compares the results with traditional quadratic optimization. In modern ...
Abstract: We discuss a novel approach for constructing deterministic reactive systems that evolves around a temporal model which incorporates a multiplicity of timelines. This model is central to ...
The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...
In this paper, they completely re-engineered SIFT in Python/CUDA using CuPy and Numba. By utilizing deterministic warp-shuffle reductions, we eliminated atomicAdd chaos and bypassed the host CPU ...
The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...
Biosphere Studies Supporting the NDA RWMD Disposal System Safety Case ...
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