GTO Wizard Benchmark
📰 ArXiv cs.AI
GTO Wizard Benchmark evaluates algorithms in Heads-Up No-Limit Texas Hold'em against a state-of-the-art superhuman poker agent
Action Steps
- Implement the GTO Wizard API to interact with the benchmark
- Train and test agents against the GTO Wizard AI
- Evaluate agent performance using the provided evaluation framework
- Compare results to the state-of-the-art baseline
Who Needs to Know This
AI researchers and engineers working on game-playing agents and multi-agent systems can benefit from this benchmark to evaluate their algorithms' performance
Key Insight
💡 The GTO Wizard Benchmark provides a standardized evaluation framework for benchmarking algorithms in HUNL
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🃏 Introducing GTO Wizard Benchmark for evaluating HUNL algorithms against a superhuman poker agent
Key Takeaways
GTO Wizard Benchmark evaluates algorithms in Heads-Up No-Limit Texas Hold'em against a state-of-the-art superhuman poker agent
Full Article
Title: GTO Wizard Benchmark
Abstract:
arXiv:2603.23660v1 Announce Type: new Abstract: We introduce GTO Wizard Benchmark, a public API and standardized evaluation framework for benchmarking algorithms in Heads-Up No-Limit Texas Hold'em (HUNL). The benchmark evaluates agents against GTO Wizard AI, a state-of-the-art superhuman poker agent that approximates Nash Equilibria, and defeated Slumbot, the 2018 Annual Computer Poker Competition champion and previous strongest publicly accessible HUNL benchmark, by $19.4$ $\pm$ $4.1$ bb/100. V
Abstract:
arXiv:2603.23660v1 Announce Type: new Abstract: We introduce GTO Wizard Benchmark, a public API and standardized evaluation framework for benchmarking algorithms in Heads-Up No-Limit Texas Hold'em (HUNL). The benchmark evaluates agents against GTO Wizard AI, a state-of-the-art superhuman poker agent that approximates Nash Equilibria, and defeated Slumbot, the 2018 Annual Computer Poker Competition champion and previous strongest publicly accessible HUNL benchmark, by $19.4$ $\pm$ $4.1$ bb/100. V
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