gym-shopping-cart

Release 0.1.1

An OpenAI Gym for Shopping Cart Reinforcement Learning

Homepage PyPI

Keywords
artificial-intelligence, cart, deep-learning, ecommerce, openai-gym, reinforcement-learning, shopping
License
MIT
Install
pip install gym-shopping-cart==0.1.1

Documentation

gym-display-advertising

An OpenAI Gym for Shopping Cart Reinforcement Learning.

This is a project by Winder Research, a Cloud-Native Data Science consultancy.

Installation

pip install gym-shopping-cart

Usage

This example will use the small example data included in the repo.

import gym
import gym_shopping_cart

env = gym.make("ShoppingCart-v0")
episode_over = False
rewards = 0
while not episode_over:
    state, reward, episode_over, _ = env.step(env.action_space.sample())
    print(state, reward)
    rewards += reward
print("Total reward: {}".format(rewards))

Real Shopping Cart Data

This environment uses real shopping cart information from the Instacart dataset.

To help read this data the library also comes with a data parser. This loads the raw data and cleans the data to be in a format expected by the environment.

Credits

Gitlab icon made by Freepik from www.flaticon.com.

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Releases

0.2.0
0.1.1
0.1.0
0.0.1
0.0.0

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