AI fundamentals · Question 9 of 60
How does an intelligent agent learn in reinforcement learning?
1 answer is correct. Easy
Show answer
Answer
- C Through trial-and-error interactions with its environment
Explanation
In reinforcement learning, intelligent agents learn optimal behaviors through trial-and-error interactions with their environment. Labeled data belongs to supervised learning, grouping into clusters to unsupervised learning. Expert systems are rule-based systems and not an ML approach.