# Apprenticeship learning

> In artificial intelligence, apprenticeship learning (or learning from demonstration or imitation learning) is the process of learning by observing an expert. It can be viewed as a form of supervised learning, where the training dataset consists of task executions by a demonstration teacher. Mapping function approach Mapping methods try to mimic the expert by forming […]

In artificial intelligence, **apprenticeship learning** (or **learning from demonstration** or **imitation learning**) is the process of learning by observing an expert. It can be viewed as a form of supervised learning, where the training dataset consists of task executions by a demonstration teacher.

## Mapping function approach

Mapping methods try to mimic the expert by forming a direct mapping either from states to actions, or from states to reward values. For example, in 2002 researchers used such an approach to teach an AIBO robot basic soccer skills.

### Inverse reinforcement learning approach

**Inverse reinforcement learning** (IRL) is the process of deriving a reward function from observed behavior. While ordinary “reinforcement learning” involves using rewards and punishments to learn behavior, in IRL the direction is reversed, and a robot observes a person’s behavior to figure out what goal that behavior seems to be trying to achieve. The IRL problem can be defined as:

> Given 1) measurements of an agent’s behaviour

…

*Source: [Wikipedia](https://en.wikipedia.org/wiki/Apprenticeship_learning)*

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- **URL:** https://wpsearchai.com/apprenticeship-learning/
- **Published:** 2026-01-28T18:47:37+00:00
- **Modified:** 2026-01-28T18:47:37+00:00
- **Author:** admin
- **Categories:** Machine learning