Условие завершения — заранее определённое правило, определяющее, когда итеративный процесс должен остановиться. В agentic AI или обучении с подкреплением оно может указывать на успех, исчерпание ресурсов, вмешательство человека или завершение эпизода.
In agentic AI, the predefined criteria that tell the agent to stop iterating. For example, here are a few possible termination conditions: - The agent successfully completed the goal. - The agent can't use any more resources. - A human-in-the-loop has detected a problem. In reinforcement learning, the conditions that determine when an episode ends, such as when the agent reaches a certain state or exceeds a threshold number of state transitions. For example, in tic-tac-toe (also known as noughts and crosses), an episode terminates either when a player marks three consecutive spaces or when all spaces are marked.