3.3 KiB
3.3 KiB
Poker AI Testbed & Live Server Roadmap
Step-by-Step Implementation Plan
Phase 1: Foundation ✅
Basic poker engine
- Fast LUT hand evaluator (5, 6, and 7 cards) ✅
- Game state management ✅
- Game Info and Player Info traits ✅
- Event reporting and action scheme ✅
- Basic game rules (NL/FL/PL) ✅
Configuration system
- TOML configuration structures ✅
- Bot parameter configuration ✅
- Game type configurations (Cash/SNG/MTT, buyins, blinds, hands per level, etc.) ✅
- Simulation parameters (hands/tournaments count, buyin thresholds for bots, etc.) ✅
🚀 Memory Optimization Achievement ✅
- Perfect Hash Jump Table: Revolutionary 79% memory reduction (625MB → ~130MB)
- Suit Canonicalization: Advanced isomorphic hand reduction algorithm
- Bottom-up Trie Construction: Cache-optimized memory layout
- Zero Breaking Changes: Full API compatibility maintained
- Performance Enhancement: Faster evaluation for 6 and 7-card hands
Phase 2: Simulation Testbed
Goal: Mass simulation capability
Testbed core
- Tournament/cash game runners
- Parallel simulation engine
- Result collection and analysis
- Bot interface with early folding capability
- Bot performance metrics & visualization
- Simulation and game factories
- Configuration-driven experiment runner
Phase 3: Bot Framework
Goal: All bot types with playability enhancement
Bot core implementations
- Generic helper functions for strategies
- Modular Strategy per stage and game situation
- Rule-based bot with configurable thresholds – port from Java
- Nash equilibrium calculator for SNG endgame – port from Java
- Statistical tracking bot – port from Java
- Logging of decision-making process
Advanced bots
- GPU acceleration for mass rollouts
- Hand-reading opponent modeling (possibly with GPU integration)
- Flop playability precomputation & score integration
- Basic reinforcement learning skeleton
- Hybrid bot combining multiple approaches
- Factory for bot and sub-strategy composition
- Genetic algorithm for bot evolution (via configuration files)
Phase 4: "Unit Test" Framework
Goal: Bot behavior can be tested against predefined hands
Hand Replayer
- Poker Tracker style hands
- Action comparison to expected outcome
- Selection of hands from different sources (books)
- Action likelihoods (multiple replays)
Phase 5: Live Server Infrastructure
Goal: Real-time bot deployment
Server core
- Network protocol design (TBD: WebSocket, JSON, MQ, etc.)
- Actions (incl. early fold and table selection), events (incl. table switches and available tables)
- Client registration and management
- Game state synchronization
- Action dispatch system
- Event logging for analysis of problems
Client adapter system
- Client factory for different poker environments
- Screen / protocol scraping adapters
- Table selection logic
- Configuration-driven game selection
Phase 6: Integration & Polish
Goal: Production-ready system
Advanced features
- Real-time strategy adaptation
- Multi-table coordination
- Bankroll management
- Risk adjustment based on results
Optimization and deployment
- Performance profiling and optimization
- Error handling and recovery
- Documentation and examples
- Deployment scripts and configuration