Learning Preferences for Interactive Autonomy

Understand

When robots enter everyday human environments, they need to understand their tasks and how they should perform those tasks.

• To encode these, reward functions, which specify the objective of a robot, are employed.
• However, designing reward functions can be extremely challenging for complex tasks and environments.
• A promising approach is to learn reward functions from humans.