Professor Yamada also says: “Such learning from unexpected events underlies reinforcement learning theory and is a well-known algorithm that occurs when people need to learn the rewards from experience.
It is interesting that it occurs even if learning is not necessary.”
This intriguing findin expands our understanding of decision-making mechanisms.
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