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Asynchronous DQN

Project description

An asynchronous deep Q-learning Network for training Game AI.

Look how easy it is to use:

import dqn

# Runing our model to train you own AI(The model will be saved in dictionary ‘logs’)

dqn.run_dqn.run(‘Game Name’)

# Evaluating the effect of the model

dqn.run_dqn.evaluate

You can see demos through download files.(Source file)

We provide several demos to show how to use these module in games.

And you can also see source code and demos on github.

Features

  • You do not need to know the algorithm.

  • Make things faster

  • Use the DQN to train games of yourself.

Installation

Install RLDQN by running:

pip install RLDQN

Contribute

  • Source Code:

Support

If you are having issues, please let us know.

We have a mailing list located at: 396032050@qq.com

Project details


Download files

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Source Distribution

RLDQN-0.0.5.tar.gz (9.1 kB view hashes)

Uploaded Source

Built Distribution

RLDQN-0.0.5-py3-none-any.whl (11.1 kB view hashes)

Uploaded Python 3

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