text: Q:
  
  Reinforcement learning methodes that map continuous to continuous
  
  I am building a model where firms have to set prices and make production decisions. Prices are continuous and so are the decision variables. (inventory, last sales, prices...).
  What reinforcement learning method can I use that maps continuous to continuous ?
  Which python packages are there? If there are no python packages, I could write a wrapper.
  
  A:
  
  PyBrain machine learning library is what you're looking for. It is quite complex implementation of neural networks, but when you understand it you will get a really powerful tool.
  PyBrain is a python library for neural network modeling. Overview of the PyBrain should get you a basic idea: at each timestamp you provides neural network with a set of continuous values and take out another set of continuous values. But more important is that you can evaluate the output and train your neural network.
  All these steps - including network training - are already implemented in PyBrain.
  
  