d0p3t

import numpy as np
import cv2
from PIL import ImageGrab

fourcc = cv2.cv.CV_FOURCC(*'XVID') # or cv2.VideoWriter_fourcc('X','V','I','D') if you use opencv 3.0
vid = cv2.VideoWriter('record.avi', fourcc, 8, (500,490))
while(True):
    img = ImageGrab.grab(bbox=(100, 10, 600, 500)) #x, y, w, h
    img_np = np.array(img)
    #frame = cv2.cvtColor(img_np, cv2.COLOR_BGR2GRAY)

d0p3t

var anchors = {}
anchors["minimap"] = [];
anchors["center"] = [];
anchors["botright"] = [];

function ProgressBar(data)
{
  this.data = data;
  this.value = data.value;
  this.disp_value = data.value;

d0p3t

RegisterServerEvent('vRP:payment')
RegisterServerEvent('vRP:salary')

AddEventHandler('vRP:payment',function(player, amount)
  local user_id = vRP.getUserId(player)
  if user_id ~= nil then
  	vRP.giveMoney(user_id, amount)
  end
end)

d0p3t

var tmi = require('tmi.js')

var options = {
  options: {
    debug: true
  },
  connection: {
    reconnect: true
  },
  identity: {

d0p3t

const tmi = require('tmi.js');
const discord = require('discord.js');
const config = require('./config/config.js'); // see https://github.com/d0p3t/d0p3tbot/blob/master/config/config_sample.js for an example

// Initialize tmi twitch bot and connect 
const client = new tmi.client(config.tmi);
client.connect();

// Initialize discord bot and connect 
const discordClient = new Discord.Client();

d0p3t

var tmi = require('tmi.js');
var config = require('./config.js');
 
var client = new tmi.client(config.tmi);
client.connect();
 
 
client.on("subscription", function (channel, username, method, message, userstate) {
    if (method.prime === true) {
        console.log("Prime Sub");

d0p3t

var myArray = ['Bobby', 'Jack', 'Danny'];
var favCities = ['Atlanta', 'Miami'];

function listFirst(array) {
  return array[0];
}

console.log(listFirst(myArray));

console.log(listFirst(favCities));

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d0p3t

DQN Setup Steps Cloney

1. init dqn in setup_play()
2. ?????? enter_train_mode() (WHAT IS DIFFERENCE BETWEEN RUN OBSERVER TRAIN)
3. next_step()?????????
4. build_frame_stack() and then / or update_frame_stack()??
5. pick_action(RANDOM or PREDICTED at % 20) how to format action mapping
6. now observe = next_step()?????
7. append_to_replay_memory() how to use reward parameter????
8. calculate_target_error() how to use observation parameter from previous step???

d0p3t