The `RolloutWorker` is a class in the `ray.rllib.evaluation` module of the Python `ray` library. It is responsible for executing rollouts, which are sequences of environment interactions, for reinforcement learning algorithms. The `RolloutWorker` handles the initialization and management of multiple parallel worker processes that interact with the environments to collect experiences. It coordinates the collection of observations, actions, rewards, and other relevant information during the rollouts. This class plays a crucial role in facilitating the training process of reinforcement learning models by efficiently generating training data from interactions with the environment.
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