a3c_trading
Trading with recurrent actor-critic reinforcement learning
Train and test a trading model using reinforcement learning techniques with provided scripts and data preprocessing.
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Free · no card · unsubscribe anytimeTrading with recurrent actor-critic reinforcement learning
a3c_trading has 437 stars on GitHub. It has been forked 129 times. a3c_trading is written mainly in Jupyter Notebook. It has been in active development since 2018. Its main topics are reinforcement-learning, tensorflow, trading.
What is a3c_trading?
Trading with recurrent actor-critic reinforcement learning
Is a3c_trading open source?
a3c_trading is an open-source project.
Is a3c_trading free?
Yes. a3c_trading is free and open source — you can use, modify and self-host it.
What language is a3c_trading written in?
a3c_trading is written mainly in Jupyter Notebook.
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