Which of the following techniques is used to estimate future rewards in reinforcement learning?
- Q-Learning
- Gradient Descent
- Principal Component Analysis
- K-Means Clustering
Q-Learning is a technique in reinforcement learning used to estimate future rewards associated with taking actions in different states.
Loading...
Related Quiz
- In the context of machine learning, what is the main difference between supervised and unsupervised learning in terms of data?
- Which NLP technique is often employed to extract structured information from unstructured medical notes?
- Imagine a game where an AI-controlled character can either gather resources or fight enemies. If the AI consistently chooses actions that provide immediate rewards without considering long-term strategy, which component of the Actor-Critic model might need adjustment?
- An advanced application of NLP in healthcare is the creation of virtual health assistants or ________.
- In the context of machine learning, what is the primary concern of fairness?