- Refactor AlgorithmicEvaluator from stateful Arc<Evaluator> wrapper to pure stateless evaluator with zero-allocation construction - Extract shared evaluation logic into pub(crate) methods, eliminating ~220 lines of duplicated code from Evaluator - Add game module: table, hand runner, tournament, bots, config, stats - Add holdem_sim CLI binary crate for running simulations - Convert MathEvaluator to thread-safe singleton with Arc<Inner> pattern - Replace heap-allocated combination generation with const-generics stack-based approach in AlgorithmicEvaluator::evaluate_n_card_hand - Add thiserror 2 dependency for GameError derive - Update docs: README, ACHIEVEMENTS, ROADMAP
44 lines
1.5 KiB
Markdown
44 lines
1.5 KiB
Markdown
# Poker AI Testbed & Live Server Achievements
|
|
|
|
## Completed Phases and Items
|
|
|
|
### Phase 1: Foundation ✅
|
|
|
|
**Basic poker engine**
|
|
- Card/Hand/Board representations ✅
|
|
- Fast LUT hand evaluator (5, 6, and 7 cards) ✅
|
|
|
|
### Phase 2: Simulation Testbed ✅
|
|
|
|
**Bot framework**
|
|
- Meerkat-API-compatible `HoldemPlayer` trait ✅
|
|
- Built-in bots: CallBot, FoldBot, RaiseBot, RandomBot ✅
|
|
- Bot factory for config-driven bot instantiation ✅
|
|
|
|
**Game engine**
|
|
- Full hand execution engine (HandRunner state machine) ✅
|
|
- Table management with seating, button rotation, blind posting ✅
|
|
- Tournament support (SNG, MTT) with blind schedules and prize structures ✅
|
|
- Pot management with side pot algorithm ✅
|
|
- NL/PL/FL betting structures ✅
|
|
- Seed control for reproducible simulations ✅
|
|
|
|
**Simulation infrastructure**
|
|
- TOML-based configuration system ✅
|
|
- Cash game simulation loop ✅
|
|
- Performance statistics accumulator ✅
|
|
- CLI simulation runner (`holdem_sim`) ✅
|
|
- Example configs for Cash, SNG, and MTT ✅
|
|
|
|
**Testing**
|
|
- 369+ unit tests passing ✅
|
|
- Integration and property tests ✅
|
|
|
|
## Success Metrics
|
|
|
|
- **Bot Performance:** Profitability across different game types
|
|
- **Simulation Speed:** Ability to run millions of hands efficiently
|
|
- **Live Reliability:** 99.9% uptime with correct action execution
|
|
- **Flexibility:** Easy configuration for new sites and game types
|
|
- **Evolution:** Continuous improvement through simulation results
|
|
- **Monitoring:** Meaningful debug and performance logging and visualization
|