Practical Algorithmic Trading Using State Representation Learning and Imitative Reinforcement Learning

Algorithmic trading allows investors to avoid emotional and irrational trading decisions and helps them make profits using modern computer technology. In recent years, reinforcement learning has yielded promising results for algorithmic trading. Two prominent challenges in algorithmic trading with r...

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Auteurs principaux: Deog-Yeong Park, Ki-Hoon Lee
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/fec1d81fddfe4844bbcbdf81d0705b41
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