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| title: README | |
| emoji: 🃏 | |
| colorFrom: indigo | |
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| sdk: static | |
| pinned: false | |
| # mtg-kernel | |
| Policy networks that play Magic: The Gathering (Pauper), trained only by reinforcement learning: terminal win or loss is the only reward, with no human game data and no imitation of heuristic bots. They run on the open-source [mtg-kernel](https://github.com/jackmaiorino/mtg-kernel) rules engine and are rated on the [Spellbench](https://github.com/jackmaiorino/spellbench) Pauper board. | |
| | Model | Elo (95% CI) | | |
| | --- | --- | | |
| | [Archon 3](https://huggingface.co/mtg-kernel/archon-3-pauper) | 1381 (1315 to 1463) | | |
| | [Archon 2](https://huggingface.co/mtg-kernel/archon-2-pauper) | 1211 (1151 to 1288) | | |
| | [Archon 1](https://huggingface.co/mtg-kernel/archon-1-pauper) | 1179 (1114 to 1254) | | |
| Spellbench `pauper-kernel-v2` board, 2026-10-28 snapshot, with the uniform-random bot anchored at 1000. All entries are policy-only: they sample from the network with no search. Each model card has build and run steps. | |
| Every rated model is published except the current top one. | |
| > Unofficial fan content. Not affiliated with, endorsed by, or sponsored by Wizards of the Coast. | |