Fixed: Upgrade changing interfaces

metastable_baselines/sac/sac.py

@@ -134,31 +134,31 @@ class SAC(OffPolicyAlgorithm):
         _init_setup_model: bool = True,
     ):
         super().__init__(
-            policy,
-            env,
-            None,  # PolicyBase
-            learning_rate,
-            buffer_size,
-            learning_starts,
-            batch_size,
-            tau,
-            gamma,
-            train_freq,
-            gradient_steps,
-            action_noise,
+            policy=policy,
+            env=env,
+            learning_rate=learning_rate,
+            buffer_size=buffer_size,
+            learning_starts=learning_starts,
+            batch_size=batch_size,
+            tau=tau,
+            gamma=gamma,
+            train_freq=train_freq,
+            gradient_steps=gradient_steps,
+            action_noise=action_noise,
             replay_buffer_class=replay_buffer_class,
             replay_buffer_kwargs=replay_buffer_kwargs,
             policy_kwargs=policy_kwargs,
             tensorboard_log=tensorboard_log,
             verbose=verbose,
             device=device,
+            support_multi_env=False,
+            monitor_wrapper=True,
             seed=seed,
             use_sde=use_sde,
             sde_sample_freq=sde_sample_freq,
             use_sde_at_warmup=use_sde_at_warmup,
-            optimize_memory_usage=optimize_memory_usage,
+            sde_support=True,
             supported_action_spaces=(gym.spaces.Box),
-            support_multi_env=True,
         )
 
         self.target_entropy = target_entropy