54 lines
No EOL
2.5 KiB
Markdown
54 lines
No EOL
2.5 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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---
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## Core Architecture Components
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### 1. Advanced Evaluation Engine
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- **Perfect Hash Jump Tables**: Revolutionary memory-efficient evaluation (~130MB vs 625MB)
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- **Suit Canonicalization**: Advanced isomorphic hand reduction for optimal performance
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- **Bottom-up Trie Construction**: Cache-optimized memory layout for CPU efficiency
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- **Zero Breaking Changes**: Full backward compatibility with existing evaluation APIs
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### 2. 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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- **Memory-efficient evaluation**: 79% memory reduction enables larger-scale simulations
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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 |