Abstract: This study provides a revision to the Proximal Policy Optimization (PPO) algorithm, primarily aimed at improving the stability of PPO during the training process while maintaining a balance ...
Abstract: Due to the high flexibility and remarkable performance, low-rank approximation has been widely studied for color image denoising. However, existing methods usually ignore the cross-channel ...
ABSTRACT: Determining the causal effect of special education is a critical topic when making educational policy that focuses on student achievement. However, current special education research is ...
A complete implementation of Logistic Regression with Gradient Descent optimization from scratch using only NumPy, demonstrating mathematical foundations of binary classification for diabetes ...
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