AI agent benchmark

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An AI agent benchmark is a standardized test designed to evaluate the performance of AI agents on various tasks. These tests are intended for comparing different agents' capabilities in areas such as programming, reasoning, performing tasks on websites, and so on. They have significant overlap with language model benchmarks. See the overview section of that article for some foundational concepts not repeated here. They also have significant conceptual overlap with benchmarks in reinforcement learning and robotics, because the very concept of an "AI agent" is formulated from reinforcement learning theory, and the most prominent examples of AI agents before the early 2020s were robots.

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