ray.rllib.utils.schedules.schedule.Schedule.value# Schedule.value(t: int | numpy.array | jnp.ndarray | tf.Tensor | torch.Tensor) → Any[source]# Generates the value given a timestep (based on schedule’s logic). Parameters: t – The time step. This could be a tf.Tensor. Returns: The calculated value depending on the schedule and t.