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Choose the best response for each of the questions below. Then select "Check your answers."

Check your knowledge

1.

In the Moab sample, what are pitch and roll?

Environment states.

Control actions.

Goals.

Strategies.

2.

What does it mean that the training episode length is 250 iterations?

Is the maximum number of actions the brain will be allowed to take to succeed.

Every episode has exactly 250 iterations.

Even if the brain fails before 250 iterations, the number of iterations per episode will be 250.

It means that the brain will never face more than 250 iterations during training nor deployment.

3.

(Select the most correct answer) The Moab brain design presented on the AI spec in this module is an example of:

A modular brain design.

A monolithic brain design.

A monolithic brain design with an advanced perception preprocessor.

A modular brain design with an advanced perception preprocessor.

4.

What is the difference between environment states and configurable scenarios?

Environment states are the sensors or input to the brain and configurable scenarios are the lessons given to the brain to practice controlling the device.

Environment states are the control actions performed by the brain at each iteration.

Environment states are the input to the brain and configurable scenarios are the output of the brain.

Environment states and configurable scenarios are the same.

5.

What type of simulator is implemented in the Project Moab sample?

A subrogate simulator.

A Data Driven Simulator (DDS).

A first-principles simulator.

The Moab doesn’t have a simulator.

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