| Action Space | Discrete(10) |
| Observation Shape | (32, 32) |
| Observation High | 255 |
| Observation Low | 0 |
| Import | import simon_arc_env gymnasium.make("SimonARC-v0") |
Abstraction and Reasoning Corpus as a Farama Gymnasium environment.
Related project: ARCLE - ARC Learning Environment.
pip install simon-arc-env- Play it by running
python examples/play.pyPress space to draw a pixel.
- Import it to train your RL model
import simon_arc_env
env = gymnasium.make("SimonARC-v0")The package relies on import side-effects to register the environment
name so, even though the package is never explicitly used, its import is
necessary to access the environment.
SimonARC has the action space Discrete(10).
| Value | Key | Meaning |
|---|---|---|
| 0 | TAB | Next page |
| 1 | Return | Submit drawing |
| 2 | Space | Set pixel |
| 3 | Arrow up | Move cursor_y up |
| 4 | Arrow down | Move cursor_y down |
| 5 | Arrow left | Move cursor_x left |
| 6 | Arrow right | Move cursor_x right |
| 7 | m | Increment color |
| 8 | n | Decrement color |
| 9 | s | Adjust canvas size |
| N/A | Escape | Exit game |
| N/A | i | Print info to console |
Observation space Box(low=0, high=255, shape=(32, 32), dtype=np.uint8).
If you solve the task you get 10000 in reward.
If you predict the width correct you get 100 in reward.
If you predict the height correct you get 100 in reward.
If your prediction have the correct histogram you get 100 in reward.
make test- v0: initial version release