Question

How is reinforced learning different from supervised learning?​

Answer 1

Answer:

Reinforcement learning differs from the supervised learning in a way that in supervised learning the training data has the answer key with it so the model is trained with the correct answer itself whereas in reinforcement learning, there is no answer but the reinforcement agent decides what to do to perform the given ...

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Answer 2

Answer:

In supervised learning, the AI systems are provided with the problems and the correct solution. The AI system will establish patterns in the system and use them for finding solutions after training. In reinforced learning, AI systems do not receive the correct solutions. Rather the right action or decision is provided with positive reinforcement (positive weight) and incorrect action or decision is rewarded with negative reinforcement (negative weight).