Hi Larry,

This is equivalent to training a supervised model. We want our model of the environment to take a state at one time-step and be able to predict the state and the next time-step. In order to do this we collect a large amount of consecutive time-steps and use each step+1 as the supervised signal in our model.

Hope that helps!

best,

Arthur

PhD. Interests include Deep (Reinforcement) Learning, Computational Neuroscience, and Phenomenology.

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