reinforcement learning
training a model by rewarding good results and penalising bad ones
In reinforcement learning, a model tries an answer and receives a score. Over many tries it shifts towards answers that score well. The scoring rule shapes the behaviour learned. A rule that punishes confident mistakes teaches the model honest confidence.
Think of it as
Training a dog with treats, where the treat depends on exactly how well it did.
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