tf_agents.trajectories.time_step.truncation

Returns a TimeStep with step_type set to StepType.LAST.

tf_agents.trajectories.time_step.truncation(
    observation: tf_agents.typing.types.NestedTensorOrArray,
    reward: tf_agents.typing.types.NestedTensorOrArray,
    discount: tf_agents.typing.types.Float = 1.0,
    outer_dims: Optional[types.Shape] = None
) -> tf_agents.trajectories.time_step.TimeStep

If discount is a scalar, and observation contains Tensors, then discount will be broadcasted to match the outer dimensions.

Args
observation	A NumPy array, tensor, or a nested dict, list or tuple of arrays or tensors.
reward	A NumPy array, tensor, or a nested dict, list or tuple of arrays or tensors.
discount	(optional) A scalar, or 1D NumPy array, or tensor.
outer_dims	(optional) If provided, it will be used to determine the batch dimensions.

Returns
A TimeStep.