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An OpenAI Gym for Display Advertisment Reinforcement Learning
pip install gym-display-advertising==0.0.1
An OpenAI Gym for Display Advertisment Reinforcement Learning
pip install gym-display-advertising
import gym_display_advertising
env = gym.make("StaticDisplayAdvertising-v0")
episode_over = False
while not episode_over:
state, reward, episode_over, _ = env.step(env.action_space.sample())
print(state, reward)
import gym_display_advertising
env = gym.make("DisplayAdvertising-v0")
episode_over = False
while not episode_over:
state, reward, episode_over, _ = env.step(env.action_space.sample())
print(state, reward)
The repository contains real-life bidding data from a single merchant and loads this by default. If you want to load more data follow the instructions in the make-ipinyou-data repository to create the data.
Then use the helper class ProcessedIPinYouData to load the data and pass the dataframe into the gym.make command.
import pathlib
import gym
import gym_display_advertising
ipinyou = gym_display_advertising.data.ProcessedIPinYouData(directory=pathlib.Path("path/to/file"))
training_data, _ = ipinyou.get_merchant_data(2997)
env = gym.make("DisplayAdvertising-v0", data=training_data)
state, reward, _, _ = env.step(env.action_space.sample())
print(state, reward)
This is a project by Winder Research, a Cloud-Native Data Science consultancy.
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