ryanpeach

The algorithm uses a custom built Q Learning agent in Python 3. https://github.com/ryanpeach/openaigym/tree/FrozenLake-QLearner

Dependences:

1. Python 3
2. Tensorflow
3. Numpy
4. Scipy

Description of Classes and Functions:

ryanpeach

# Ryan Peach 3/1/2016
# References Used for this Implementation
# https://en.wikipedia.org/wiki/Hungarian_algorithm
# https://github.com/bmc/munkres/blob/master/munkres.py
# http://csclab.murraystate.edu/bob.pilgrim/445/munkres.html
# ---
# No copying and pasting of online code was performed, though some code may turn out to be similar due to the standardized nature of this algorithm.
# This is a very different implementation due to the fact that it heavily uses numpy, vastly simplifies many poorly pythonized coding elements
# removes the "class" approach for a function based one. Etc.
# Improvements that need to be made is to require the matrix class, and to vectorize iterations through the matrix.

ryanpeach

from time import time, sleep
from functools import wraps
import socket
import unittest

class TimeoutError(socket.timeout):
    pass

none_val = lambda x: 0.0 if x is None else float(x)                         # Returns float(x), or 0 if x is None