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Tutorials for New Algorithms | ||
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As a flexible deep reinforcement learning library, it is easy for newers to extend new algorithms to XuanCe | ||
and build customized algorithms based on XuanCe. | ||
As is mentioned in :doc:`here <../../index>`, an algorithm consists of four components,namely representation, policy, learner, and agent. | ||
Hence, one can create a customized algorithm by the following steps. | ||
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.. raw:: html | ||
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<br><hr> | ||
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Step 1: Customized Representation | ||
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Step 2: Customized Policy | ||
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Step 3: Customized Learner | ||
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Step 4: Customized Agent | ||
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