MACHINE LEARNING

Detailed explanation-1: -c) Observing d) None of the mentioned Answer: b Explanation: An agent can improve its performance by storing its previous actions.

Detailed explanation-2: -A learning agent is a tool in AI that is capable of learning from its experiences. It starts with some basic knowledge and is then able to act and adapt autonomously, through learning, to improve its own performance.

Detailed explanation-3: -The learning agent consists of two elements: the learning element and the performance element. The performance element is what in the previous introduced agent types we considered to be the entire agent-it selects the actions based on the percepts it receives.

Detailed explanation-4: -The learning agent gains feedback from the critic on how well the agent is doing and determines how the performance element should be modified if at all to improve the agent. For example when you were in school you would do a test and it would be marked the test is the critic.