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View Code? Open in Web Editor NEWModel-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)
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How is the distance calculated in case of reward range changing from {0, 1} to {1, 10}?
I am wondering how the distance is calculated after the reward range has changed. I am also not sure about the values used for clipping the q-values here:
mbold/classifier_control/classifier/models/q_function.py
Lines 595 to 596 in 8530980
Where do the upper and lower bound come from? especially because the distance can be a large negative number if the qvals are near zero.
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