Jan-Peter v. Hunnius
09a0777f96
Evaluator overhaul: - Add Supersonic LUT trie evaluator (32M-entry, O(n) hand evaluation) - Add Cactus Kev perfect-hash 5-card evaluator (prime-product hashing) - 3-tier evaluation priority: Supersonic → Cactus Kev → Algorithmic - DashMap-cached 7-card evaluation for lock-free concurrent access - Rewrite JumpTable around CactusKevEvaluator + DashMap cache Bot framework: - Add StrategyBot adapter (Strategy trait → HoldemPlayer) - Add register_bot_type() for plugin-style bot registration - Add strategy module with modular composable strategies Repository split: - Remove holdem_bots from workspace (moved to private super_marvin repo) - Remove holdem_bots dependency from holdem_sim - Update cash_game.toml to use built-in bots only - Clean up .gitignore (remove stale holdem_bots exclusion) - Delete plans/ directory (internal planning artifacts) Documentation: - Add ARCHITECTURE_SUPERSONIC_EVALUATOR.md - Add REFERENCES.md - Update ROADMAP.md and VISION.md - Remove outdated docs (ACHIEVEMENTS, RAKE, TOURNAMENT_RAKE, meerkat-alignment)
46 lines
No EOL
2.2 KiB
Markdown
46 lines
No EOL
2.2 KiB
Markdown
# Poker AI Testbed & Live Server Vision
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## Overall Goal
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Create a **comprehensive poker AI ecosystem** with two main components:
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- **Massive Simulation Testbed** – For developing and testing bot strategies across all game types (NL/FL/PL, Cash/SNG/MTT) with configurable parameters
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- **Live Action Server** – For deploying bots in real poker environments with automatic table selection
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## Core Architecture Components
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### 1. Simulation Testbed
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- **Configurable bots** (Rule-based, Nash EQ, Statistical, Hand-reading, Reinforcement Learning)
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- **Mass parallel simulations** with GPU acceleration (e.g., for turn and river rollouts)
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- **Multi-tier hand evaluation**: Supersonic LUT trie → Cactus Kev perfect-hash → Algorithmic fallback, with DashMap-cached 7-card evaluation
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- **TOML-driven configuration** for all parameters of bots and simulations
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- **Comprehensive result analysis** and bot evolution
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### 2. Live Action Server
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- **Generic protocol** for client communication
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- **Early folding capability** (bots can fold without being polled)
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- **Multiple client adapters** for different poker sites
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- **Automated table selection** based on game configuration
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- **Real-time strategy adaptation**
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### 3. Bot Concepts
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- **Modular Strategy** per stage and game situation – e.g., low stack in a tournament, preflop vs. postflop.
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Plugable sub-strategies and decision methods (first applicable, random, most aggressive, least aggressive, etc.)
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- **Generic helper functions** for strategies like ICM, ppot, not, hand strength, against one and multiple opponents
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- **Incremental, asynchronous rollout** of turn and river on flop and river on turn
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- **Flop Playability score** for preflop based on precalculated rollouts for all possible flops and starting hands
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- **Opponent hand prediction and statistics**, for instance in Poker Tracker format
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- **Real-time strategy adaptation**, e.g., reinforcement learning
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---
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## Expected Outcomes
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- **Research Platform:** Systematic testing of poker AI strategies
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- **Live Deployment:** Bots that can play on real poker sites
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- **Strategy Insights:** Understanding what works in different game conditions
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- **Bot Evolution:** Self-improving systems through simulation and adaptation |