Belote Contrée engine + RL training stack.
- ARCHITECTURE.md — workspace layout, key subsystems, observation formats
- RULES.md — game rules summary
- BENCH.md — performance benchmarks
- arena_results.md — global arena leaderboard (the main eval metric)
règles officielles belote contrée.pdf— official FFB rules
- bid/ — bidding strategies, bid NN training, reward studies, interpretability
- play/ — play methods (DD solver, IS-DD, DMC, IS-MCTS), play NN training
- belief/ — belief models for hidden card inference
- data_gen/ — pool generation, enrichment methods, replay formats
- training/ — training pipelines and how to invoke them
- superpowers/ — agent-driven plans and design specs
| Topic | Main doc |
|---|---|
| Latest bid champion | bid/reward_studies/v3_max_signal_results.md |
| Reward signal study | bid/reward_studies/v3_reward_study.md |
| Distilled bid rules (XGBoost) | bid/interpretability/bid_rules_xgb.md |
| Triforge joint training | play/experiments/triforge.md |
| Belief net + IS-DD | belief/bis_dd.md |
| Training commands | training/overview.md |