Path: blob/master/docs/source/tutorial/2-Advance.rst
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:github_url: https://github.com/AI4Finance-Foundation/FinRL 2-Advance ======================== This section is recommended for users with some familiarity of FinRL or FinRL-Meta (or already run the notebooks in "1-Introduction"). Notebooks in this section includes: 1. `FinRL_Compare_ElegantRL_RLlib_Stablebaseline3.ipynb <https://github.com/AI4Finance-Foundation/FinRL/blob/master/tutorials/2-Advance/FinRL_Compare_ElegantRL_RLlib_Stablebaseline3.ipynb>`_ In this notebook, we compare the three DRL libraries that supported in FinRL. Users who know these DRL libraries might find this interesting. 2. `FinRL_Ensemble_StockTrading_ICAIF_2020.ipynb <https://github.com/AI4Finance-Foundation/FinRL-Tutorials/blob/master/2-Advance/FinRL_Ensemble_StockTrading_ICAIF_2020.ipynb>`_ In this notebook, we implement an "ensemble agent", which is a ensemble of several popular DRL algorithms. Then we compare the performance of the ensemble agent and other DRL agents on the portfolio allocation task. `FinRL_PortfolioAllocation_Explainable_DRL.ipynb <https://github.com/AI4Finance-Foundation/FinRL-Tutorials/blob/master/2-Advance/FinRL_PortfolioAllocation_Explainable_DRL.ipynb>`_.