SalesForce Certified AI Associate Salesforce Certified AI Associate 07 31Oct2024 - Practice Quiz

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Question 1 of 30

In a reinforcement learning scenario, an agent is tasked with navigating a grid environment to reach a goal while avoiding obstacles. The agent receives a reward of +10 for reaching the goal, -1 for hitting an obstacle, and 0 for each step taken otherwise. If the agent follows a policy that results in an expected cumulative reward of 50 over a series of episodes, what can be inferred about the agent\'s performance and the efficiency of its policy?

The agent is effectively balancing exploration and exploitation, leading to a high cumulative reward.

The agent is likely taking too many steps without reaching the goal.

The agent's policy is inefficient due to frequent collisions with obstacles.

The agent's performance is suboptimal because it does not utilize the available rewards effectively.

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