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docs: clean up documentation - remove obsolete architecture docs, simplify roadmap and vision, update READMEs

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- Delete ARCHITECTURE_HAND_LOGGING_TOURNAMENT_IMPROVEMENTS.md (implemented)
- Delete ARCHITECTURE_SUPERSONIC_EVALUATOR.md (implemented)
- Delete REFERENCES.md (no longer needed)
- Simplify ROADMAP.md: remove Phases 4-7 (live server, advanced bots)
- Simplify VISION.md: focus on simulation testbed only
- Update README.md: dual evaluator architecture, fix broken links
- Update holdem_core/README.md: fix title, add Supersonic evaluator docs
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Jan-Peter von Hunnius 2026-05-25 12:19:44 +02:00
parent 09a0777f96
commit 14c56485e7
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docs/VISION.md
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@ -1,16 +1,4 @@
# Poker AI Testbed & Live Server Vision
## Overall Goal
Create a **comprehensive poker AI ecosystem** with two main components:
- **Massive Simulation Testbed** – For developing and testing bot strategies across all game types (NL/FL/PL, Cash/SNG/MTT) with configurable parameters
- **Live Action Server** – For deploying bots in real poker environments with automatic table selection
---
## Core Architecture Components
### 1. Simulation Testbed
# Poker AI Simulation Testbed
- **Configurable bots** (Rule-based, Nash EQ, Statistical, Hand-reading, Reinforcement Learning)
- **Mass parallel simulations** with GPU acceleration (e.g., for turn and river rollouts)
@ -18,29 +6,6 @@ Create a **comprehensive poker AI ecosystem** with two main components:
- **TOML-driven configuration** for all parameters of bots and simulations
- **Comprehensive result analysis** and bot evolution
### 2. Live Action Server
- **Generic protocol** for client communication
- **Early folding capability** (bots can fold without being polled)
- **Multiple client adapters** for different poker sites
- **Automated table selection** based on game configuration
- **Real-time strategy adaptation**
### 3. Bot Concepts
- **Modular Strategy** per stage and game situation – e.g., low stack in a tournament, preflop vs. postflop.
Plugable sub-strategies and decision methods (first applicable, random, most aggressive, least aggressive, etc.)
- **Generic helper functions** for strategies like ICM, ppot, not, hand strength, against one and multiple opponents
- **Incremental, asynchronous rollout** of turn and river on flop and river on turn
- **Flop Playability score** for preflop based on precalculated rollouts for all possible flops and starting hands
- **Opponent hand prediction and statistics**, for instance in Poker Tracker format
- **Real-time strategy adaptation**, e.g., reinforcement learning
---
## Expected Outcomes
- **Research Platform:** Systematic testing of poker AI strategies
- **Live Deployment:** Bots that can play on real poker sites
- **Strategy Insights:** Understanding what works in different game conditions
- **Bot Evolution:** Self-improving systems through simulation and adaptation