docs: proper newlines formatting

docs/design/communication.md

@@ -1,6 +1,7 @@
 # Communication scheme (Message Passing)
 
 Remember our research question:
+
 > "What is the impact of different levels of controller modularity on learning speed, coordination, and fault tolerance
 > (e.g. amputations) in brittle-star-like robots trained with Reinforcement Learning?"
 

docs/design/reward_function.md

@@ -8,8 +8,7 @@ inputs must be distributed fairly to guarantee an objective comparison between d
 - The reward function is centered around minimizing the distance to the goal or maximizing the movement towards the goal
   within a finite number of timesteps $T$.
 - To motivate efficient movement, the amount of timesteps taken to reach the goal will be used as penalty.
-- An extra penalty based on movement relative to the current step and
-the previous is used to penalize a movement away from the target.
+- An extra penalty based on movement relative to the current step and the previous is used to penalize a movement away from the target.
 
 ## From reward to PPO