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 rules engine and are rated on the Spellbench Pauper board.
| Model | Elo (95% CI) |
|---|---|
| Archon 3 | 1381 (1315 to 1463) |
| Archon 2 | 1211 (1151 to 1288) |
| Archon 1 | 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.