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DQN Tensorflow 2

This is a tensorflow 2 dqn implementation based off the DQN paper. This uses the functional keras api to build the model.

Agents.py uses keras train_on_batch which, for reasons I'm not aware of, takes 2.5x longer to train than Agents_2.py.

Agents_2.py uses a custom training loop and tf.GradientTape() to modify the model weights.

Author: Mohammed Hamada Gasmallah

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