Q: 9
Your team is running a simulation-based optimization exercise to increase routing efficiency. Learning
for this exercise is done through "trial and error".
Which type of machine learning approach is being leveraged for this exercise?
Options
Discussion
C/D? "Trial and error" makes me think B, since that's classic reinforcement learning. C is a trap if you assume labeled data is involved. Not totally sure though, open to being corrected.
C tbh
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