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Found 6 papers, 3 papers with code
Active learning for reducing labeling effort in text classification tasks
Furthermore, we explore the influence of the query-pool size on the performance of AL.
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control
Therefore, we propose LemgoRL, a benchmark tool to train RL agents as TSC in a realistic simulation environment of Lemgo, a medium-sized town in Germany.
Explainable Reinforcement Learning for Longitudinal Control
SHAP values are an approach to overcome this problem.
Variation-resistant Q-learning: Controlling and Utilizing Estimation Bias in Reinforcement Learning for Better Performance
The empirical results show that Variation-resistant Q-learning can control and utilize estimation bias for better performance in the experimental tasks.
Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification
The classification of DNA sequences is a key research area in bioinformatics as it enables researchers to conduct genomic analysis and detect possible diseases.
Comparing Generative Adversarial Network Techniques for Image Creation and Modification
The experiments with the Capsule Network as discriminator result in generated images of a lower quality, compared to a standard convolutional neural network.
