Struggling agents refer to AI models or autonomous systems that encounter obstacles, errors, or suboptimal performance during task execution. They are used in simulations, training environments, and debugging processes to identify weaknesses, improve decision-making, or test resilience. Developers, researchers, and organizations benefit by refining algorithms, enhancing reliability, and building more robust AI solutions.
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