Metadata-Version: 2.1
Name: Qlearners
Version: 0.13.2
Summary: A package for Q learning (and friends)
Home-page: https://github.com/danelliottster/Qlearners
Author: D.L. Elliott
Author-email: danelliottster@gmail.com
License: UNKNOWN
Description: # Overview
        
        The purpose of this repository is to provide meaninful baselines for a variety reinforcement learning approaches.  The RL approaches are evaluated with an emphasis on the average performance accross multiple agents.
        
        # Q-learning algorithms
        
        # Recipies
        
        <table>
        
           <tr>
              <td> <h2> <b> OpenAI cartpole v1 </b> </h2> </td>
           </tr>
           <tr>
              <td> Description: See https://gym.openai.com/envs/CartPole-v1/ for more information. </td>
           </tr>
           <tr>
              <td> <h4> Agent description </h4> </td>
              <td> <h4> Representative parameters </h4> </td>
              <td> <h4> Mean performance accross thirty agents </h4> </td>
           </tr>
           <tr>
              <td> SGD with feedforward ANN </td>
              <td> blah blah blah </td>
           </tr>
           <tr>
              <td> <h2> <b> Colorado State Univ cartpole swing-up and balance task </b> </h2> </td>
           </tr>
           <tr>
              <td> An inverted pendulum on a cart initially developed by Chuck Anderson (chuck.anderson@colostate.edu). An evaluation episode begins with the pole pointing down, the cart in the center of the track, with both the cart and pole with zero velocity. </td>
           </tr>
           <tr>
              <td> <h4> Agent description </h4> </td>
              <td> <h4> Representative parameters </h4> </td>
              <td> <h4> Mean performance accross thirty agents </h4> </td>
           </tr>
           
        </table>
        
        ## Carpole
        
        # Other stuff:
        
        ## How to create package
        
        <source >
        
        python3 setup.py sdist bdist_wheel
        
        python3 -m twine upload dist/*
        
        </source>
        
        # To create a private release
        
        <code>
           $ python3 setup.py sdist bdist_wheel
        </code>
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Requires-Python: >=3.5
Description-Content-Type: text/markdown
