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Discounted future sum of batch-major values.
tf_agents.utils.common.discounted_future_sum_masked( values, gamma, num_steps, episode_lengths )
values: A Tensor of shape [batch_size, total_steps] and dtype float32.
gamma: A float discount value.
num_steps: A positive integer number of future steps to sum.
episode_lengths: A vector shape [batch_size] with num_steps per episode.
A Tensor of shape [batch_size, total_steps], where each entry is the discounted sum as in discounted_future_sum, except with values after the end of episode_lengths masked to 0.
ValueError: If values is not of rank 2, or if total_steps is not defined.