Case Study
HOW TO USE REINFORCEMENT LEARNING TO VALUATE TEXTUAL DATA
HOW TO USE REINFORCEMENT LEARNING TO VALUATE TEXTUAL DATA AnkitKulshreshtha AI Labs Course5 Intelligence Bengaluru, India ankit.kulshreshtha@course5i.com SudhanshuUpadhyay AI Labs Course5 Intelligence Bengaluru, India sudhanshu.upadhaya@course5i.com November 10, 2020 ABSTRACT Having an accurate dataset is a very important aspect for training neural networks. A model trained on corrupted and faulty data may result in poor performance and getting a clean dataset is not always possible. While manually cleaning the data may help if the size of the dataset is small, it isn’t always possible nor an effective solution for training neural networks, which essentially require large amounts of data for training. In this paper, we present the application of reinforcement learning for valuing each data