Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/caselles/deep_q-network
Implementation of DeepMind's Deep Q-Network for Reinforcement Learning on OpenAI Gym, using Python with Keras.
https://github.com/caselles/deep_q-network
Last synced: 15 days ago
JSON representation
Implementation of DeepMind's Deep Q-Network for Reinforcement Learning on OpenAI Gym, using Python with Keras.
- Host: GitHub
- URL: https://github.com/caselles/deep_q-network
- Owner: Caselles
- Created: 2016-12-19T14:31:51.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-02-05T14:13:41.000Z (about 8 years ago)
- Last Synced: 2025-01-13T03:37:42.079Z (about 1 month ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 246 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Deep_Q-Network
Author : Hugo Caselles-Dupré
Disclaimer : several syntax errors can exist in the code. Use it wisely.
---------------------------------------
Implementation of DeepMind's Deep Q-Network for Reinforcement Learning on OpenAI Gym, using Python with Keras.
---------------------------------------
In this directory you can find a Jupyter Notebook with the implementation of DQN. The class Experience Replay allows you train the DQN agent on any OpenAI Gym environment.
An example, CartPole-v0, is provided. The neural network is build with Keras on top of Theano (also works with TensorFlow).
------------------------------------------
If you have any questions : [email protected].