Survival sandbox benchmark evaluates autonomous agents on sustained goal execution

ASIWorld tests agents in a persistent environment with interdependent tasks and measures both outcomes and execution behaviors

Chinese Tech
Jianfeng Lin · Runze Wang · Haorong Hong · Yuxuan Xie · Zeno Zeng · Zhongyuan Liu

Lightspeed Studios, Tencent · The Hong Kong University of Science and Technology · University of Science and Technology of China · Hunyuan Team, Tencent

Research Digest··2 min read
The authors introduce ASIWorld, a survival sandbox with persistent world and character state, character-scoped observations, and a programmable asynchronous interface.

The authors built ASIWorld, a persistent survival environment where agent actions have delayed effects and earlier decisions shape later opportunities.

Why this paper

From Lightspeed Studios, Tencent and 3 others · Part of Process Agent Benchmarks, now 27 papers

In one line

ASIWorld is a survival sandbox benchmark that evaluates agents by task outcomes, execution behavior, and survival costs.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ✓Limitations stated by the authors
  • ·No benchmark numbers found

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Research Digest

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