I have an image which consists of a start and an end point, the journey has some obstacles which have to be avoided.
- Is it possible to train an RL agent using such images to find the best path avoiding objects.
- Or what algorithm should be used in order to find the best path avoiding objects, where the input is an image.
For example a picture of a person on a field track and there are obstacles in between from the start to the end point. I want to predict the series of actions that are required to reach the final position.