diff --git a/sac.py b/sac.py
index 7633b19..0ff0b45 100644
--- a/sac.py
+++ b/sac.py
@@ -64,7 +64,6 @@ class SAC(object):
             qf1_next_target, qf2_next_target = self.critic_target(next_state_batch, next_state_action)
             min_qf_next_target = torch.min(qf1_next_target, qf2_next_target) - self.alpha * next_state_log_pi
             next_q_value = reward_batch + mask_batch * self.gamma * (min_qf_next_target)
-
         qf1, qf2 = self.critic(state_batch, action_batch)  # Two Q-functions to mitigate positive bias in the policy improvement step
         qf1_loss = F.mse_loss(qf1, next_q_value)  # JQ = 𝔼(st,at)~D[0.5(Q1(st,at) - r(st,at) - γ(𝔼st+1~p[V(st+1)]))^2]
         qf2_loss = F.mse_loss(qf2, next_q_value)  # JQ = 𝔼(st,at)~D[0.5(Q1(st,at) - r(st,at) - γ(𝔼st+1~p[V(st+1)]))^2]