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I started working on a dataset for appliances energy prediction.  Here I summarized the problem and the visualization procedure.

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Here, I summarize some of the famous recurrent neural network (RNN) architectures.

One can define any policy which is compatible with the Tensorflow-agents library.

In Tensorflow-Agents, we can define our own environments and their associated rewards. 

In the past two days, using the Tensorflow Agents library, I finished writing a code for a DQN agent that finds the optimal Policy for a CartPole problem.