Update custom_tasks.md

docs/source/user_guide/tutorials/custom_tasks.md

@@ -31,7 +31,7 @@ def __init__(self, *args, robot_uids="panda", reconfigure_freq=1, **kwargs):
 
 A `reconfiguration_freq` value of 1 means every during every reset we reconfigure. A `reconfiguration_freq` of `k` means every `k` resets we reconfigure. A `reconfiguration_freq` of 0 (the default) means we never reconfigure again.
 
-In general the 
+In general one use case of setting a positive `reconfiguration_freq` value is for when you want to simulate a task in parallel where each parallel environment is working with a different object/articulation and there are way more object variants than number of parallel environments. For machine learning / RL workflows, setting `reconfiguration_freq` to e.g. 10 ensures every 10 resets the objects being simulated on are randomized which can diversify the data collected for online training.
 
 
 ## Initialization / Randomization