Evolutionary reinforcement learning: a systematic review and future directions

Y Lin, F Lin, G Cai, H Chen, L Zou, P Wu - arxiv preprint arxiv:2402.13296, 2024 - arxiv.org
In response to the limitations of reinforcement learning and evolutionary algorithms (EAs) in
complex problem-solving, Evolutionary Reinforcement Learning (EvoRL) has emerged as a …

[HTML][HTML] A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms

S Alghamdi, B Soh, A Li - Multimodal Technologies and Interaction, 2025 - mdpi.com
Massive open online courses have revolutionised the learning environment, but their
effectiveness is undermined by low completion rates. Traditional dropout prediction models …

Predicting Student Success in Mathematics Using Machine Learning Techniques: A Comparative Study of Algorithms

Z Samia, ZN El Houda, M Hareth - 2024 1st International …, 2024 - ieeexplore.ieee.org
Achieving low results in mathematics is a real and urgent concern, as mathematics is the
foundation of science and technology, and any weakness in it reflects negatively on the …

Impact of ChatGPT on Academic Engagement and Personalized Learning among Postgraduate Students˗ A Literature Review

O Khan, F Ullah - Research Journal of Psychology, 2024 - ctr.rjmss.com
As the education technology space continues to evolve, ChatGPT and other AI models are
transforming the manner in which students interact with content, self-growing the mode. This …

Deep Learning-Based Image Compression Using TensorFlow

R Santhosh, A Philip - Available at SSRN 5016790, 2024 - papers.ssrn.com
Image compression is a factor that constitutes web technologies since the modern web
contains lots of high-quality images. This paper discusses the current status of deep learning …