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…AI-generated summary Multi-agent pathfinding (MAPF) is a widely used abstraction for multi-robot trajectory planning problems, where multiple homogeneous agents move simultaneously within a shared environment. Although solving MAPF optimally…
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…AI-generated summary Long-term memory is crucial for agents in specialized web environments , where success depends on recalling interface affordances, state dynamics, workflows, and recurring failure modes. However, existing memory benchmark…
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…AI-generated summary Deep search has become a crucial capability for frontier multimodal agents, enabling models to solve complex questions through active search, evidence verification, and multi-step reasoning. Despite rapid progress…
…AI-generated summary Existing benchmarks for multimodal agentic search evaluate multimodal search and visual browsing, but visual evidence is either confined to the input or treated as an answer endpoint rather than…