{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "eurekaleo-awesome-ai-for-games--find-benchmarks-for-testing-game-agents",
 "repo": "Eurekaleo/awesome-ai-for-games",
 "repo_url": "https://github.com/Eurekaleo/awesome-ai-for-games",
 "repo_slug": "eurekaleo-awesome-ai-for-games",
 "title": "Find benchmarks for evaluating LLM agents on games",
 "page_title": "How to find benchmarks for evaluating LLM agents on games with Awesome AI for Games",
 "summary": "Locate benchmark papers such as Orak and VideoGameBench to compare agent evaluations.",
 "who": "A QA lead or AI evaluation engineer who needs a benchmark to measure how well an LLM agent plays real video games.",
 "problem": "Choosing a benchmark means comparing many papers that each define their own games, tasks, and metrics.",
 "outcome": "A shortlist of game-agent benchmarks with their source links, ready for a side-by-side review.",
 "steps": [
  "Open the README and go to the Play and Act section.",
  "Look for entries whose titles name a benchmark, such as Orak, VideoGameBench, FlashAdventure, and EMemBench.",
  "Open each benchmark's paper link and note the games it covers and how it evaluates agents.",
  "Use the Literature search link to find newer benchmark papers that are not yet in the list."
 ],
 "agent_prompt": "Using the Eurekaleo/awesome-ai-for-games README, list every benchmark paper in the Play and Act section that evaluates LLM or VLM agents on video games. For each one, give the title and paper link, and state whether the README links code for it.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "The README describes these entries only by title and link, so the games and metrics in each benchmark must be confirmed from the linked paper.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "tex",
 "requirements": [
  "A web browser to open the README and the linked survey map and literature search pages",
  "Basic familiarity with the game topic you want to research"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/eurekaleo-awesome-ai-for-games/find-benchmarks-for-testing-game-agents/",
 "md": "https://dedupedai.com/use-cases/eurekaleo-awesome-ai-for-games/find-benchmarks-for-testing-game-agents/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/eurekaleo-awesome-ai-for-games--find-benchmarks-for-testing-game-agents.json",
 "api_version": "v1"
}