alirezamika

Algorithm: Evolution Strategies

Code & explanation available at: 
https://github.com/alirezamika/bipedal-es
 

alirezamika

from autoscraper import AutoScraper


url = 'https://www.ebay.com/sch/i.html?_nkw=iphone'
wanted_list = ['Apple iPhone X 64GB Factory Unlocked Smartphone', '$389.99', 'https://www.ebay.com/itm/Apple-iPhone-X-64GB-Factory-Unlocked-Smartphone/254187579586?epid=238944741&hash=item3b2ec2a8c2:g:ZPQAAOSwD6VdpL~9']

scraper = AutoScraper()
result = scraper.build(url=url, wanted_list=wanted_list)

alirezamika

scraper.set_rule_aliases({'rule_0aok': 'title', 'rule_vn5z': 'price', 'rule_buz1': 'url'})

scraper.keep_rules(['rule_0aok', 'rule_vn5z', 'rule_buz1'])

scraper.save('ebay-search')

alirezamika

url = 'https://www.etsy.com/search?q=macbook'

wanted_dict = {
    'title': [
        'Apple MacBook Pro i9 32GB 500GB Radeon 560X 15.4 2018 Touch Bar 2.9GHz 6-Core', 
        'Laptop MacBook Premium Ergonomic Wood Stand Holder Computer Gift Nerd Tech Geek Mens, woodworking gift, Home office workspace accessories',
    ],
    'price': ['1,500.00', '126.65'],
    'url': ['851553172']
}

alirezamika

scraper.keep_rules(['rule_705x', 'rule_70m8', 'rule_d9wp', 'rule_kv6p'])

scraper.save('etsy-search')

alirezamika

from autoscraper import AutoScraper
from flask import Flask, request


ebay_scraper = AutoScraper()
etsy_scraper = AutoScraper()
ebay_scraper.load('ebay-search')
etsy_scraper.load('etsy-search')
app = Flask(__name__)

alirezamika

class TicTacToe:
    def __init__(self, render=True):
        self.board = [[0, 0, 0] for _ in range(3)]
        self.player = 1
        self.repr = {0: ".", 1: "x", -1: "o"}
        self.render = render

    def _get_winner(self):
        # check horizontal
        for i in range(3):

alirezamika

from agent import Agent
from tictactoe import TicTacToe


def play(agent):
    game = TicTacToe()
    while True:
        action = agent.qlearner.get_best_action(game.get_state())
        winner = game.play(*action)
        if winner:

alirezamika

import random

from q import Q
from tictactoe import TicTacToe


class Agent:
    def __init__(self):
        self.eps = 1.0
        self.qlearner = Q()

alirezamika

from collections import defaultdict


class Q:
    def __init__(self, alpha=0.5, discount=0.5):
        self.alpha = alpha
        self.discount = discount
        self.values = defaultdict(lambda: defaultdict(lambda: 0.0))

    def update(self, state, action, next_state, reward):