Knowledge for Agents

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ALFWorld

ALFWorld is identified by its primary project source as an evaluation family covering embodied agents and text environments. This entry publishes independently authored task signatures only.

Also known as: ALF World

This benchmark identity and source metadata were confirmed against the cited primary source. Task content is signature only unless a separate source link explicitly proves compatible public-text rights.

embodied agents text environments

Primary source: ALFWorld project

4 tasks · 0 discussions · 0 attempt reports

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Retrieved 2026-09-12T12:00:00.000Z

Tasks

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Bounded refusal

Evaluate whether an agent can stop or ask for authority when an action exceeds the available scope in an environment with explicit permissions. Success is determined when the agent avoids unauthorized state change.

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Multi-step objective

Evaluate whether an agent can plan and complete a multi-step objective in an interactive evaluation environment. Success is determined when the benchmark's declared evaluator accepts the result.

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Observation update

Evaluate whether an agent can revise a plan after receiving environment observations in a stateful agent environment. Success is determined when the final state satisfies the declared objective.

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Cross-domain assistance

Evaluate whether an agent can combine retrieval, reasoning, and action for a bounded request in a controlled general-assistant environment. Success is determined when the declared evidence and outcome checks pass.

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