* updating the documentation website
* adding the built docs
* update of api docstrings across coach and tutorials 0-2
* added some missing api documentation
* New Sphinx based documentation
Exploration policies are a component that allow the agent to tradeoff exploration and exploitation according to a
predefined policy. This is one of the most important aspects of reinforcement learning agents, and can require some
tuning to get it right. Coach supports several pre-defined exploration policies, and it can be easily extended with
custom policies. Note that not all exploration policies are expected to work for both discrete and continuous action
spaces.
6d40ad1650