From c880285dc293779b75e2f79242367915e5a54509 Mon Sep 17 00:00:00 2001 From: Robin Meersman Date: Fri, 17 Apr 2026 14:28:11 +0200 Subject: [PATCH] feat(docs): added delta_distance extension to documentation for reward function --- docs/design/reward_function.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docs/design/reward_function.md b/docs/design/reward_function.md index a72fb33..9cf178f 100644 --- a/docs/design/reward_function.md +++ b/docs/design/reward_function.md @@ -8,6 +8,8 @@ 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. ## From reward to PPO