tdpeuter/2026SEL3-project-Brittle_Star_Controller_Modularity
tdpeuter/2026SEL3-project-Brittle_Star_Controller_Modularity
Archived
1
Fork 0
Code Issues Releases Activity

feat: extended reward function doc with efficiency idea

Browse source
This commit is contained in:
cedric 2026-03-31 22:20:19 +00:00
parent 42e51e0653
commit f487d5725f
1 changed files with 1 additions and 0 deletions
Download patch file Download diff file Expand all files Collapse all files

1
docs/design/reward_function.md
View file

@ -7,6 +7,7 @@ inputs must be distributed fairly to guarantee an objective comparison between d
- Positions and joints, which are normalized to floating-point values between 0 and 1, are considered local inputs.
- 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.
## Rationale