Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Build and experiment with popular deep reinforcement learning algorithms using Keras for training AI models.
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Deep-RL-Keras has 550 stars on GitHub. It has been forked 146 times. Deep-RL-Keras is written mainly in Python. It has been in active development since 2018. Its main topics are a2c, a3c, d3qn, ddpg.
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Deep-RL-Keras is an open-source project.
Yes. Deep-RL-Keras is free and open source — you can use, modify and self-host it.
Deep-RL-Keras is written mainly in Python.
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