A Novel Deep Reinforcement Algorithm with Adaptive Sampling Strategy for Continuous Portfolio Optimization
碩士 === 國立交通大學 === 資訊管理研究所 === 107 === Quantitative trading finds stable and profitable trading strategies by observing historical data through statistics or mathematics methods. With the advancement of technology and the development of computing equipment, many studies that prove that deep reinforce...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/wvv2ff |