Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
Create a simple game AI using deep learning techniques with minimal code.
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deep-q-learning has 1.3k stars on GitHub. It has been forked 455 times. deep-q-learning is written mainly in Python. It has been in active development since 2017. deep-q-learning is available under the MIT license. Its main topics are ddqn, deep-learning, deep-q-network, deep-reinforcement-learning.
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
deep-q-learning is an open-source project. It is released under the MIT license.
Yes. deep-q-learning is free and open source — you can use, modify and self-host it.
deep-q-learning is available under the MIT license.
deep-q-learning is written mainly in Python.
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