# PTE Listening FIB #9: Imitation Learning in...

Listening: Fill in the Blanks #9 - Level 2 - Feeds Listening

> You will hear a recording. Type the missing word in each blank.

In some cases, you have a difference between the world that you can train in and sort of like the real world. So one example would be if you're doing robotics. In robotics, it's possible to have simulations of your robotics environments. But of course, you want your ____ to run in the real world. Right. What you can do then, if you're in a situation like that, of course, the simulation is not exactly the same as the environment. So just having something that works in simulation is not necessarily ____ . And then pretty much, I mean, we show that in our work. But really what we're doing is we're using existing ____ that are called imitation learning. And what it is, is it just takes an existing solution to a problem and just makes sure that you can reliably use that solution, even when there are slight ____ in your environment, including it being the real world rather than a simulation.

## Answer

1. robot
2. sufficient
3. algorithms
4. variations

## Explanation

The speaker pauses before "sufficient," so you may think the sentence has ended. "Not necessarily" needs an adjective to finish it. "Algorithms" is plural and tricky to spell; "are called" points to more than one. "Variations" ends in -tions, and "slight" plus the simulation versus real world idea confirms it.

## Hints

- Focus on the speaker's comparison between simulated environments and the real world.
- Listen for the specific technical terms used to describe the learning process and the challenges faced by the robot.

## Transcript

In some cases, you have a difference between the world that you can train in and sort of like the real world. So one example would be if you're doing robotics. You know, in robotics, it's possible to have simulations of your robotics environments. But of course, you want your robot to run in the real world, right? What you can do then, if you're in a situation like that, of course, the simulation is not exactly the same as the environment. So just having something that works in simulation is not necessarily sufficient. And then pretty much, you know, I mean, we show that in our work, but really what we're doing is we're using existing algorithms that are called, you know, imitation learning. And what it is, is it just takes an existing solution to a problem and just makes sure that you can reliably use that solution even when, you know, there are slight variations in your environment, including, you know, it being the real world rather than a simulation.

[Practise this question with the exam timer](https://testmigo.com/pte/practice/listening-fill-in-the-blanks/imitation-learning-in-robotics-simulation) - [All Listening: Fill in the Blanks questions](https://testmigo.com/pte/practice/listening-fill-in-the-blanks)