Open AccessTFCMA-DRL: Tolerant Flexible Coordinated Multi-Agent Deep Reinforcement Learning for Prediction of Future Stock Price Trends from Multi-Source Data
Author(s) -
C. Bhuvaneshwari,
R. Beena
Publication year - 2021
Publication title -
international journal of intelligent engineering and systems
Language(s) - English
Resource type - Journals
eISSN - 2185-310X
pISSN - 1882-708X
DOI - 10.22266/ijies2021.0430.04
Subject(s) - computer science , reinforcement learning , stock (firearms) , stock price , artificial intelligence , machine learning , mechanical engineering , paleontology , series (stratigraphy) , engineering , biology