Question

how does imitation help us in observational learning?

Answer 1

Imitation learning is an effective approach for autonomous systems to acquire control policies when an explicit reward function is unavailable, using supervision provided as demonstrations from an expert, typically a human operator. However, standard imitation learning methods assume that the agent receives examples of observation-action tuples that could be provided, for instance, to a supervised learning algorithm. This stands in contrast to how humans and animals imitate: we observe another person performing some behavior and then figure out which actions will realize that behavior, compensating for changes in viewpoint, surroundings, and embodiment. We term this kind of imitation learning as imitation-from-observation and propose an imitation learning method based on video prediction with context translation and deep reinforcement learning. This lifts the assumption in imitation learning that the demonstration should consist of observations and actions in the same environment, and enables a variety of interesting applications, including learning robotic skills that involve tool use simply by observing videos of human tool us

Answer 2

Imitation learning helps us so much even when we are playing or helping any one.
Like if we are playing damsharads we need not to speak but we need to act so if we cant answer our other player can imitate us.
And while helping when duf and dum people are their we can imate them to say what are they saying so it helps us to understand what are they saying and who cant hear we can act and say so like this it is very helpful in my thinking