Namyeong Lee

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Recently, various machine learning methods such as reinforcement learning (RL), long short-term memory (LSTM), and transformers have been studied for investments in financial stock markets. The main purpose of such studies is to predict future stock prices and/or automatically trade stocks based on specified optimization criteria. The reader is referred to [1], [2], [3], [4], [5], [6], [7], [8], and [9] and the references therein for various learning algorithms used to study financial markets.