Runs formatter to fix lint issues

Author: Mayankm96

rsl_rl/modules/actor_critic.py

@@ -79,7 +79,9 @@ def __init__(
             if self.noise_std_type == "scalar":
                 torch.nn.init.constant_(self.actor[-2].bias[num_actions:], init_noise_std)
             elif self.noise_std_type == "log":
-                torch.nn.init.constant_(self.actor[-2].bias[num_actions:], torch.log(torch.tensor(init_noise_std + 1e-7)))
+                torch.nn.init.constant_(
+                    self.actor[-2].bias[num_actions:], torch.log(torch.tensor(init_noise_std + 1e-7))
+                )
             else:
                 raise ValueError(f"Unknown standard deviation type: {self.noise_std_type}. Should be 'scalar' or 'log'")
         else:

rsl_rl/modules/actor_critic_recurrent.py

@@ -95,7 +95,9 @@ def __init__(
             if self.noise_std_type == "scalar":
                 torch.nn.init.constant_(self.actor[-2].bias[num_actions:], init_noise_std)
             elif self.noise_std_type == "log":
-                torch.nn.init.constant_(self.actor[-2].bias[num_actions:], torch.log(torch.tensor(init_noise_std + 1e-7)))
+                torch.nn.init.constant_(
+                    self.actor[-2].bias[num_actions:], torch.log(torch.tensor(init_noise_std + 1e-7))
+                )
             else:
                 raise ValueError(f"Unknown standard deviation type: {self.noise_std_type}. Should be 'scalar' or 'log'")
         else: