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Implementation of DeepMind's Deep Q-Network for Reinforcement Learning on OpenAI Gym, using Python with Keras.

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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].

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Implementation of DeepMind's Deep Q-Network for Reinforcement Learning on OpenAI Gym, using Python with Keras.

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