v0.7.0 — Bid V6 IS-DD (match-trained champion)
Bid V6 IS-DD is the new default bid model.
Trained 75M steps (45M + 30M resume) on 5M ISDD-scored deals with:
- score-aware v3 obs (117-dim: scores cumulés + 4 belote bits en main)
- belote-aware reward (Q+K of trump same hand → +20 pts)
- match simulation (cumulative scores + dealer rotation 0→1→2→3 + reset @ 2000)
Arena results (vs V5 IS-DD, post-2026-04-20 dealer-rotation fix)
| Eval set | v6 vs v5 |
|---|---|
| DMC play (round-robin) | 58.7% / +140 |
| IS-DD play (h2h, 1000 matches) | 57.3% / +181 |
With belief net vs nn_v2_isdd |
63.5% / +187 |
V6 wins arena matches by 13.5pp vs the previous best-overall champion (nn_v2_isdd).
Notes
- Belief net (
belief_v3.bin) contributes ~0pp on top of v6 — it added ~13pp on bid_v2. Likely distribution shift since belief was trained on bid_v2 auctions, or v6's score-aware obs already encodes the relevant signal. - Match-trained models cannot be ranked by deal-level audit metrics — at single-deal probes v6 scores -22 pts/deal vs v5 (audit measures avg deal-EV, not match outcome). Always use match arena for match-trained models.
Assets
bid_v6_isdd.bin— production bid model (2.4 MB, hidden=512, layers=3, obs_dim=117)
PyPI wheels follow on tag push.