Mastering deep reinforcement learning in one day.
Github Repository: https://github.com/AI4Finance-LLC/ElegantRL
Tutorial: https://elegantrl.readthedocs.io/en/latest/index.html
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@simonsalt
Mastering deep reinforcement learning in one day.
Github Repository: https://github.com/AI4Finance-LLC/ElegantRL
Tutorial: https://elegantrl.readthedocs.io/en/latest/index.html
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥 - AI4Finance-LLC/FinRL-Library
FinRL is an open source library that provides practitioners a unified framework for pipeline strategy development. In reinforcement learning (or Deep RL), an agent learns by continuously interacting with an environment, in a trial-and-error manner, making sequential decisions under uncertainty and achieving a balance between exploration and exploitation. The open source community AI4Finance (to efficiently automate trading) provides educational resources about deep reinforcement learning (DRL) in quantitative finance.
Github Repository: https://github.com/AI4Finance-LLC/FinRL-Library
Video: https://www.youtube.com/watch?v=ZSGJjtM-5jA
Tutorial: http://finrl.org
FinRL: A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance
FinRL is the open source library for practitioners. To efficiently automate trading, AI4Finance provides this educational channel and makes it easier to learn about deep reinforcement learning (DRL) in quantitative finance.
Source Code: https://github.com/AI4Finance-LLC/FinRL-Library