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AAArena tests agents that revise executable policies across 12 adversarial games

huggingface.co by Kaisen Yang et al. Editor score 8/10

AAArena evaluates agents refining game policies under fixed budgets; Opus5.5 with Claude Code earns six gold medals but no tested configuration tops the other six human ladders. It probes how agent harnesses learn from feedback and where that approach breaks down.

What

AAArena is a benchmark for heuristic learning in 12 adversarial games, with 1,920 archived human programs.

How

Agents interpret rules, choose opponents, analyze replays and revise game agents; the evaluated configurations earned six gold medals but topped only six of the human ladders combined.

Why it matters

The benchmark tests whether systems can improve executable policies from match experience under fixed evaluation budgets.

Read on huggingface.co → Code · 39 stars

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