* Currently this is specific to the case of discretizing a continuous action space. Can easily be adapted to other case by feeding the kNN otherwise, and removing the usage of a discretizing output action filter
During heatup we may want to add agent-generated-noise (i.e. not "simple" random noise).
This is enabled by setting 'heatup_using_network_decisions' to True. For example:
agent_params = DDPGAgentParameters()
agent_params.algorithm.heatup_using_network_decisions = True
The fix ensures that the correct noise is added not just while in the TRAINING phase, but
also during the HEATUP phase.
No one has enabled 'heatup_using_network_decisions' yet, which explains why this problem
arose only now (in my configuration I do enable 'heatup_using_network_decisions').
* 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
