Policies used in various RL or IL applications.
Based on tf 1.x APIs.
In the style of tf.contrib.layers and tf-slim.
Some code of implementing policy gradient loss is borrowed from deepmind/trfl and openai/baselines.
Some code for transformer layer is borrowed from here.
cd to the folder and run the command:
pip install -e .
Moreover,
we require tensorflow==1.15.0, please install it manually!
See the testing file net_zoo/net_name/net_name_test.py which can serve as examples.
Use tf.contrib.framework.nest, e.g., nest.flatten, nest.map_structure.
It is helpful when, for example, computing losses from all the action heads.
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