def sample_forward_transitions(self, batch_size, batch_info, forward_steps: int,<EOL>discount_factor: float) -> Transitions:
raise NotImplementedError<EOL>
Sample transitions from replay buffer with _forward steps_.
That is, instead of getting a transition s_t -> s_t+1 with reward r,
get a transition s_t -> s_t+n with sum of intermediate rewards.

Used in a variant of Deep Q-Learning