Imitation Learning
Imitation learning techniques aim to mimic human behavior in a given task.
Learning rewards through demonstration.
Some applications:
- Simulated highway driving
- Aerial imagery-based navigation
- Parking lot navigation
- Quadrupled locomation
Inverse RL
Inverse RL is more about understanding the underlying reward structure by observing the behavior, such as why animals or humans move / behave in a certain way.
Behavioral Cloning
Treat this as a standard Supervised Learning problem.
Problem: Compounding errors.