Written by Shon Kaganovich shon.kaganovich@gmail.com
A docker is a tool that allows developers to easily deploy apps without having to custom download all their dependencies for said project. It uses a sandbox (also called a container) that contains all the dependencies and compilers needed, but unlike virtual machines contains do not have high overhead and thus are efficient.
| # Inspired by https://medium.com/@tuzzer/cart-pole-balancing-with-q-learning-b54c6068d947 | |
| import gym | |
| import numpy as np | |
| import math | |
| from collections import deque | |
| class QCartPoleSolver(): | |
| def __init__(self, buckets=(1, 1, 6, 12,), n_episodes=1000, n_win_ticks=195, min_alpha=0.1, min_epsilon=0.1, gamma=1.0, ada_divisor=25, max_env_steps=None, quiet=False, monitor=False): | |
| self.buckets = buckets # down-scaling feature space to discrete range |
