Metadata-Version: 1.1
Name: feedforward_closedloop_learning
Version: 2.0.0
Summary: Feedforward Closedloop Learning (FCL)
Home-page: https://github.com/glasgowneuro/feedforward_closedloop_learning
Author: Bernd Porr, Paul Miller
Author-email: bernd@glasgowneuro.tech
License: GPL 3.0
Description: Feedforward closed loop learning (FCL) is a learning algorithm
        which adds flexibility to autonomous agents.
        
        A designer defines an initial behaviour as a reflex and then FCL
        learns from the reflex to develop new flexible behaviours.
        
        The Python documentation can be obtained with::
          
            import feedforward_closedloop_learning as fcl
            help(fcl)
        
        The Python API is identical to the C++ API: The documentation can be
        found here:
        https://glasgowneuro.github.io/feedforward_closedloop_learning/
        
        The best way to get started is to look at the script
        in `tests_py`:
        https://github.com/glasgowneuro/feedforward_closedloop_learning/tree/master/tests_py
        
        A full application using the Python API is our vizdoom
        agent:
        https://github.com/glasgowneuro/fcl_demos
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
