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New LOLPlay benchmark tests AI agents in League of Legends

By PulseAugur Editorial · [1 sources] ·

A new benchmark called LOLPlay has been developed to evaluate real-time visual agents within the game League of Legends. The benchmark includes 36 champion-specific tasks focusing on resource management, combat, cooperation, and objectives. Initial evaluations using GPT-6 Astra showed that while it achieved a 25.0% task success rate at low and medium reasoning efforts, increasing the effort did not improve performance and could even reduce interaction time, suggesting a trade-off between reasoning depth and real-time responsiveness. AI

IMPACT This benchmark could drive advancements in real-time visual AI agents by providing a standardized evaluation for complex, dynamic environments.

RANK_REASON The cluster describes a new benchmark paper for evaluating AI agents. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LOLPlay benchmark tests AI agents in League of Legends

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The cluster describes a new benchmark paper for evaluating AI agents. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    LOLPlay: Benchmarking Real-Time Visual Agents in League of Legends

    LOLPlay evaluates visual agents on real-time League of Legends tasks, finding that increased reasoning effort does not improve success and can reduce interaction time.

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