Deep Recurrent Q-Network Algorithm for Carbon Emission Allowance Trading Strategy

Author:

Wu Chao,wenjie bi,Liu Haiying

Publisher

Elsevier BV

Reference16 articles.

1. High-frequency trading strategy based on deep neural networks;A Ar�valo;International conference on intelligent computing,2016

2. A deep learning framework for financial time series using stacked autoencoders and long-short term memory;W Bao;Plos one,2017

3. Quantitative trading: how to build your own algorithmic trading business;E Chan;Algorithmic trading: winning strategies and their rationale,2006

4. Deep direct reinforcement learning for financial signal representation and trading;Y Deng;IEEE transactions on neural networks and learning systems,2016

5. Does carbon emission trading policy has emission reduction effect?-an empirical study based on quasi-natural experiment method;X Feng;Journal of Environmental Management,2024

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