jasonyandell/texas-42-lem-pour-a
Texas 42: Pour A, positions with splats on every playable declaration An advantage dataset for the trick-taking domino game Texas 42. Walt, an imperfect-information planner, plays all four seats of 250,000 seeded deals. At every position where the seat to move has a real choice, the whole outcome distribution of every legal move is kept, not just the move Walt played. Public domain (CC0 1.0), by Jason Yandell; the code that made it is jasonyandell/mk5-main (scenario/atlas.py… See the full description on the dataset page: https://huggingface.co/datasets/jasonyandell/texas-42-lem-pour-a.
| Author / organization | jasonyandell |
|---|---|
| License (as declared) | cc0-1.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 17 October 2026 |
| Last updated at source | 17 October 2026 |
Connected in the knowledge graph
- jasonyandell/gusModel · used to train
Recent changes
- 17 Oct 2026 License: none → cc0-1.0
- 17 Oct 2026 Description: none → Texas 42: Pour A, positions with splats on every playable declaration An advantage dataset for the trick-taking domino game Texas 42. Walt, an imperfect-information planner, plays all four seats of 250,000 seeded deals. At every position wh
- 17 Oct 2026 Topics added task_categories:reinforcement-learning, texas-42, dominoes, imperfect-information, game-ai, planning, advantage, self-play
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