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# NeuroGolf 2026 Submission
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This repository contains solutions for the 2026 NeuroGolf Championship competition on Kaggle.
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## Results
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- **Tasks solved:** 276/400 (69%)
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- **Total score:** 4106.7
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- **Average score per solved task:** 14.9
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## Approach
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The solver uses multiple strategies in order of increasing complexity:
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1. **Identity** - Output equals input
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2. **Color map** - Per-pixel color remapping
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3. **Transpose/Flip/Rotate** - Geometric transformations
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4. **Tiling** - Conditional Kronecker product
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5. **Upscale** - Nearest-neighbor upscaling
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6. **Concatenation patterns** - Horizontal/vertical concatenation with transforms
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7. **Position-based color LUT** - Per-position color lookup table
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8. **Spatial gather** - Pixel rearrangement
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9. **Linear/Affine** - Matrix multiplication
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10. **One-hot convolution** - Encode colors as channels, apply convolution, decode via argmax
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The one-hot convolution approach proved most effective, solving 220 tasks. It encodes each pixel as a 10-channel one-hot vector, applies a learned convolution, and decodes via argmax.
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## Solver Breakdown
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| Solver | Tasks |
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|--------|-------|
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| onehot_conv | 220 |
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| spatial_gather | 24 |
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| color_map | 4 |
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| concat_patterns | 4 |
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| pos_color_lut | 3 |
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| onehot_linear | 2 |
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| flip | 2 |
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| transpose | 2 |
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| upscale | 2 |
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| tiling | 1 |
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| tile_repeat | 1 |
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## Files
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- `submission.zip` - ONNX files for 276 solved tasks
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- `solve_all.py` - Main solver script
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- `ARC-AGI/` - ARC-AGI training data
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## Usage
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```bash
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python3 solve_all.py
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```
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This will create a `submission/` folder with ONNX files.
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