PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives
Video world models simulate future states conditioned on current observations and user actions. Recent systems have demonstrated impressive video consistency and action controllability over long sequences. However, fairly comparing these interactive models remains challenging. In practice, a human player typically evaluates a world model by pursuing long-horizon objectives through interaction. For example, a user may turn around 360 degrees to see whether the environment remains consistent, or walk into the water and inspect whether realistic water ripples are generated. The action sequence re
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzySimilar title/name (fuzzy) · 59%AgentCore-8B →
“Fuzzy title match (0.73): “PlayWorld: Benchmarking World Models with Agent Players over” ≈ “AgentCore-8B””
- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: wan”
- FuzzySimilar title/name (fuzzy) · 87%zhayujie/CowAgent →
“Fuzzy title match (0.94): “PlayWorld: Benchmarking World Models with Agent Players over” ≈ “zhayujie/CowAgent””
- FuzzySimilar title/name (fuzzy) · 87%SWE-agent/SWE-agent →
“Fuzzy title match (0.94): “PlayWorld: Benchmarking World Models with Agent Players over” ≈ “SWE-agent/SWE-agent””
- FuzzySimilar title/name (fuzzy) · 84%Thysrael/Horizon →
“Fuzzy title match (0.92): “PlayWorld: Benchmarking World Models with Agent Players over” ≈ “Thysrael/Horizon””
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Kaixin Ding →
“PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives”
- LinkedLinked via arxiv author · 85%Xi Chen →
“PlayWorld: Benchmarking World Models with Agent Players over Long-Horizon Objectives”