What is an agent in reinforcement learning?Question 4Answera.The labeled data used to train the modelb.The predicted outcome of an eventc.The entity that receives rewards or punishments and learns from themd.The environment in which the learning takes place
Question
What is an agent in reinforcement learning?Question 4Answera.The labeled data used to train the modelb.The predicted outcome of an eventc.The entity that receives rewards or punishments and learns from themd.The environment in which the learning takes place
Solution
The agent in reinforcement learning is c. The entity that receives rewards or punishments and learns from them.
In reinforcement learning, an agent is a decision-making software that interacts with an environment to achieve a certain goal. The agent can perform certain actions in the environment, and it receives rewards or punishments (also known as positive or negative reinforcement) as feedback for its actions. Over time, the agent learns to make better decisions by adjusting its actions based on the feedback it receives.
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