| --- |
| license: agpl-3.0 |
| tags: |
| - chess |
| - behavioral-cloning |
| - human-ai-alignment |
| --- |
| |
| # Temporal Conditioning for Human Behavioral Cloning in Chess |
|
|
| Weights and evaluation data for the IEEE GEM 2026 paper. |
|
|
| Code and reproduction instructions: |
| https://github.com/Prof-it/temporal-chess-model |
|
|
| ## Models |
|
|
| Five checkpoints, each released as `.onnx` (to play) and `.pt` (to evaluate). |
|
|
| | Model | Steps | | |
| |---|---|---| |
| | `marvin_23m_cond_1700k` | 1.70M | 23M time-conditioned, longest-trained and strongest | |
| | `marvin_79m_cond_1650k` | 1.65M | 79M time-conditioned, the model the paper compares to Maia-3 | |
| | `marvin_23m_cond_1M` | 1.00M | 23M time-conditioned, ablation arm | |
| | `marvin_23m_blind_1M` | 1.00M | 23M time-blind twin, ablation baseline | |
| | `marvin_79m_cond_1M` | 1.00M | 79M time-conditioned, step-matched to the 23M pair | |
|
|
| The three `1M` checkpoints are step-matched, so those are the ones to compare |
| against each other. Training of the time-blind arm stopped at 1M steps, which is |
| why it has no later checkpoint. |
|
|
| `checkpoints_MANIFEST.json` records the role, sha256, step count, seeds, |
| parameter count and training command for each. |
|
|
| ## Evaluation data |
|
|
| `eval-data/testset_2026-05/` is the held-out test set every reported number is |
| computed on: 1,500,029 positions from May 2026 Lichess games, one position per |
| game, rated 1200-2500, across all time controls. |
|
|
| ## Use |
|
|
| ```bash |
| git clone https://github.com/Prof-it/temporal-chess-model |
| cd temporal-chess-model |
| pip install -r requirements-engine.txt |
| python download_assets.py --engine |
| scripts/marvin-uci.sh # or point a chess GUI at it |
| ``` |
|
|
| Every `.pt` embeds its own `config_dict`, so `evaluation.backends.make_backend` |
| loads any of them without being told the architecture. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{dziwniel2026temporal, |
| author = {Victor Dziwniel and Tianxiang Lu}, |
| title = {Temporal Conditioning for Human Behavioral Cloning in Chess}, |
| booktitle = {2026 IEEE Gaming, Entertainment and Media Conference (GEM)}, |
| year = {2026}, |
| publisher = {IEEE} |
| } |
| ``` |
|
|
