Metadata-Version: 1.0
Name: quint
Version: 0.1
Summary: Quint is a minimal path finding library useful for discrete state scenarios
Home-page: http://github.com/lepisma/quint
Author: lepisma
Author-email: abhinav.tushar.vs@gmail.com
License: MIT
Description: quint
        -----
        
        *No hassle Q-learning library*
        
        Quint is a minimal path finding library useful for discrete state scenarios
        
        Usage
        *****
        
        * Install : ``pip install quint``
        *	Import : ``from quint import quint``
        *	Instantiate : ``model = quint(reward_matrix, gamma)`` (refer quint docstring for matrix structure)
        * Override quint.act() to your own action function
        *	Learn : ``model.learn(final_state, iterations)``
        * Trace : ``model.find_optimum_path(from_state)``
        
        
        MIT License
        
        Copyright (C) 2014 Abhinav Tushar
Keywords: q-learning reinforcement learning path finding
Platform: UNKNOWN
