An agent trajectory maps the sequence of decisions and actions an AI system takes to solve a task. It is used to train reinforcement learning models, optimize workflows, and debug autonomous agents. Developers, data scientists, and robotics engineers benefit by improving efficiency, transparency, and performance in AI-driven processes.
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