Траектория — это упорядоченная последовательность состояний, действий, вознаграждений или наблюдений, возникающая при взаимодействии агента со средой. В reinforcement learning и робототехнике траектории описывают, как поведение разворачивается во времени, и используются для обучения, оценки или планирования.
In reinforcement learning, a sequence of tuples that represent a sequence of state transitions of the agent, where each tuple corresponds to the state, action, reward, and next state for a given state transition.
A "trajectory" refers to a sequence of steps or actions taken by an agent or model. It's often used in the evaluation of generative models, where the model's ability to generate text, code, or other content is assessed. There are several types of trajectory metrics that can be used to evaluate generative models, including trajectory exact match, trajectory in-order match, trajectory any order match, and trajectory precision. These metrics measure the similarity between the model's output and a set of human-generated reference outputs.