Which type of learning is characterized by an agent interacting with an environment and learning to make decisions based on rewards and penalties?
- Supervised Learning
- Reinforcement Learning
- Unsupervised Learning
- Semi-Supervised Learning
Reinforcement learning is the type of learning where an agent learns through interaction with an environment by receiving rewards and penalties.
Loading...
Related Quiz
- In hierarchical clustering, the ________ method involves merging the closest clusters in each iteration.
- Unlike PCA, which assumes that the data components are orthogonally distributed, ICA assumes that the components are ________.
- In a case where a company wants to detect abnormal patterns in vast amounts of transaction data, which type of neural network model would be particularly beneficial in identifying these anomalies based on data reconstructions?
- Which algorithm is commonly used for blind source separation or separating mixed signals?
- Which type of regression is used to predict the probability of a categorical outcome?