I am working on a project to implement a collision avoidance algorithm on a real unmanned aerial vehicle (UAV).
I'm interested in understanding the process to set up a negative reward to account for scenarios wherein there is a UAV crash. This can be done very easily during the simulation (if the UAV touches any object, the episode stops giving a negative reward). In the real world, a UAV crash would usually entail it hitting a wall or an obstacle, which is difficult to model.
My initial plan is to stop the RL episode and manually input a negative reward (to the algorithm) each time a crash occurs. Any improvements to this plan would be highly appreciated!
