a) When dealing with large state/action spaces with sparse rewards, using artificial goals (i.e., goals not originally defined in the problem setup) can assist the DRL agent in converging.
a) When dealing with large state/action spaces with sparse rewards, using artificial goals (i.e., goals not originally defined in the problem setup) can assist the DRL agent in converging.
