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LLM Skirmish: Real-Time Strategy Benchmark for AI Agents

Quality: 8/10 Relevance: 9/10

Summary

LLM Skirmish is a real-time strategy benchmark where LLMs write and execute code to control in-game agents in 1v1 matches. The study examines in-context learning across five rounds, using an open-source coding harness (OpenCode) and a dockerized, isolated environment to compare model performance, strategy evolution, and cost efficiency. It discusses challenges such as context rot and the balance between script simplicity and complexity.

🚀 Service construit par Johan Denoyer