Pocuston

# Solution of Open AI gym environment "Cartpole-v0" (https://gym.openai.com/envs/CartPole-v0) using DQN and Pytorch.
# It is is slightly modified version of Pytorch DQN tutorial from
# http://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html.
# The main difference is that it does not take rendered screen as input but it simply uses observation values from the \
# environment.

import gym
from gym import wrappers
import random
import math

andrhamm

const AWS = require('aws-sdk');
AWS.config.logger = console;

const dynamodb = new AWS.DynamoDB({ apiVersion: '2012-08-10' });

let val = 'some value';

let params = {
  TableName: "MyTable",
  ExpressionAttributeValues: {