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Author: maryamziaa

com.unity.ml-agents/Documentation~/Training-Configuration-File.md

@@ -199,12 +199,12 @@ iterations of training to compensate for the sparsity of reward.
 As an example, in a 2v1 scenario, if we want the swap to occur x=4 times during
 team-change=200000 steps, the swap_steps for the team of one agent is:
 
-swap_steps = (1 / 2) \* (200000 / 4) = 25000 
+swap_steps = (1 / 2) \* (200000 / 4) = 25000
 
 The swap_steps for the team of two
 agents is:
 
-swap_steps = (2 / 1) \* (200000 / 4) = 100000 
+swap_steps = (2 / 1) \* (200000 / 4) = 100000
 
 Note, with equal team sizes, the
 first term is equal to 1 and swap_steps can be calculated by just dividing the