QUANT[22]論文2:Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
深度直接強化學習於金融信號表示和交易 發表於《IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 》期刊SCI一區 論文結構： 1、Introduction（綜述論文，主要從決策執行RL和特徵學習DL進行闡述） 2、Related works（介紹RL和DL相關知識） 3、Direct Deep Reinforcement Learn
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相關文章
- 1. Agent Inspired Trading Using Recurrent Reinforcement Learning and LSTM Neural Networks論文解析
- 2. 論文：Robotic Arm Representation Using Image-Based Feedback for Deep Reinforcement Learning
- 3. Risk Management and Financial Institution Chapter 5 —— Trading in Financial Markets
- 4. iCaRL：Incremental Classifier and Representation Learning論文閱讀
- 5. Reinforcement learning and Deep learning
- 6. 《HARP-Hierarchical Representation Learning for Networks》論文解讀
- 7. CVPR 2017 Deep representation learning for human motion prediction and classification 論文解讀
- 8. 《VideoBERT: A Joint Model for Video and Language Representation Learning》
- 9. Reinforcement Learning, Fast and Slow
- 10. 論文筆記 Reinforcement Learning with Derivative-Free Exploration