playing idealized trading games with deep reinforcement learning
Play trading games using deep learning to develop optimal trading strategies.
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deep-RL-trading has 360 stars on GitHub. It has been forked 122 times. deep-RL-trading is written mainly in Python. It has been in active development since 2018. deep-RL-trading is available under the MIT license. Its main topics are deep-learning, deep-reinforcement-learning, dqn, machine-learning.
playing idealized trading games with deep reinforcement learning
deep-RL-trading is an open-source project. It is released under the MIT license.
Yes. deep-RL-trading is free and open source — you can use, modify and self-host it.
deep-RL-trading is available under the MIT license.
deep-RL-trading is written mainly in Python.
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