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Error-Driven Learning - What is the learning methodology where the model learns through a trial and error method?


Reinforcement Learning (RL) offers a powerful approach to learning optimal behaviors through trial-and-error interactions with an environment. By incorporating feedback in the form of rewards, RL agents can adapt their actions to maximize cumulative rewards.