why do we retrieve episodes like this?

[jamilaandimen]

In DeepQLearning.py, when we switch levels, we save current level episodes with this line:
epi_env_array[name_agent][level[name_agent]]= episode[name_agent]
Then we initialize level and episode with these two lines:

level[name_agent] = (level[name_agent] + 1) % len(reset_array[name_agent])
episode[name_agent] = epi_env_array[name_agent][int(level[name_agent] / 3)]

As the level[name_agent] has already new correct value (due to % len(reset_array[name_agent]),
my question is why not replace :
episode[name_agent] = epi_env_array[name_agent][int(level[name_agent] / 3)]
with :
episode[name_agent] = epi_env_array[name_agent][level[name_agent])]
I'm guessing / 3 is due to the fact you have 3 initial positions in unreal_envs/initial_positions.py