yethdev/2048-ai-model

2048 N-Tuple Network Model

Trained using TD(0) afterstate learning with 8 six-tuple patterns and 8 symmetries.

Stats

• Games trained: 1,200,000
• Max tile reached: 16384
• Patterns: 8 six-tuples with 8 symmetry transforms each
• Weight table size: ~347 MB

Files

• weights.bin - raw Float32 weight tables (8 x 11390625 floats)
• config.json - model architecture and training metadata
• patterns.json - tuple pattern definitions

Usage

Load the binary weights into 8 Float32Arrays of size 11390625 each. For each board state, compute the feature index for each pattern under all 8 symmetries and sum the corresponding weight values to get the board evaluation score. Pick the move whose afterstate has the highest (reward + evaluation).