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I think the reason was that the example agent was not using the .gin file given in the folder. I tried copy and paste the configs for DQN into the notebook and then it seems to have an identical learning curve.
The Colab notebook showing how to train a custom agent (https://colab.research.google.com/github/google/dopamine/blob/master/dopamine/colab/agents.ipynb) doesn't actually do any learning. Could we have an example of modifying the DQN architecture or its loss function?
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