Machine Learning Algorithm.

Let us learn types of reinforcement machine learning algorithm.

Categories of Reinforcement Learning :

1} 𝘗𝘰𝘴𝘪𝘵𝘪𝘷𝘦 𝘙𝘦𝘪𝘯𝘧𝘰𝘳𝘤𝘦𝘮𝘦𝘯𝘵 :
• Positive reinforcement learning is a type of machine learning where a model is trained by receiving positive rewards for correct actions or behavior.
• The goal is to encourage the model to learn behaviors or decision that lead to favorable outcomes
• Positive reinforcement refers to the addition of rewards for the desired behavior.

2} 𝘕𝘦𝘨𝘢𝘵𝘪𝘷𝘦 𝘙𝘦𝘪𝘯𝘧𝘰𝘳𝘤𝘦𝘮𝘦𝘯𝘵 :
• Negative reinforcement learning is a type of machine learning which involves training a model by providing punishments for undesirable actions or behavior.
• The aim is to prevent the model from making certain mistakes or actions.
• Negative reinforcement involves the prevention of undesirable outcomes to encourage the learning of desired behaviors.