Search Results for author: Sungho Hong

Found 2 papers, 1 papers with code

Synergistic Formulaic Alpha Generation for Quantitative Trading based on Reinforcement Learning

no code implementations5 Jan 2024 Hong-Gi Shin, Sukhyun Jeong, Eui-Yeon Kim, Sungho Hong, Young-Jin Cho, Yong-Hoon Choi

Mining of formulaic alpha factors refers to the process of discovering and developing specific factors or indicators (referred to as alpha factors) for quantitative trading in stock market.

reinforcement-learning Reinforcement Learning (RL)

Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks

1 code implementation NeurIPS 2020 Dongqi Han, Erik De Schutter, Sungho Hong

This mechanism boosts information transfer carried by a propagating spike signal and thereby supports reliable spike signal and information transmission in a deep FFN.

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