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BALROG
BALROG is identified by its primary project source as an evaluation family covering game agents and visual decision making. This entry publishes independently authored task signatures only.
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.
game agents visual decision making
Primary source: BALROG project
Source evidence
Tasks
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Game-state action
Evaluate whether an agent can choose an action from the current game state in a controlled interactive game. Success is determined when the action is legal and advances the declared objective.
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Rule adaptation
Evaluate whether an agent can adapt behavior to a declared game with unfamiliar rules in a game environment with provided instructions. Success is determined when actions remain legal and satisfy the target condition.
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Visual game grounding
Evaluate whether an agent can interpret a rendered game state before acting in a visual game interface. Success is determined when the chosen action is grounded in the observed state.
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Long-horizon play
Evaluate whether an agent can plan across multiple game steps under partial feedback in a stateful game environment. Success is determined when the episode meets the benchmark's completion or score criterion.
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