diff --git a/src/learners/q_learner.py b/src/learners/q_learner.py
index 02de44c4a..1221a7bf3 100644
--- a/src/learners/q_learner.py
+++ b/src/learners/q_learner.py
@@ -108,7 +108,7 @@ def train(self, batch: EpisodeBatch, t_env: int, episode_num: int):
 
         if t_env - self.log_stats_t >= self.args.learner_log_interval:
             self.logger.log_stat("loss", loss.item(), t_env)
-            self.logger.log_stat("grad_norm", grad_norm, t_env)
+            self.logger.log_stat("grad_norm", grad_norm.item(), t_env)
             mask_elems = mask.sum().item()
             self.logger.log_stat("td_error_abs", (masked_td_error.abs().sum().item()/mask_elems), t_env)
             self.logger.log_stat("q_taken_mean", (chosen_action_qvals * mask).sum().item()/(mask_elems * self.args.n_agents), t_env)
diff --git a/src/main.py b/src/main.py
index cd0230278..3c3da5fde 100644
--- a/src/main.py
+++ b/src/main.py
@@ -31,6 +31,10 @@ def my_main(_run, _config, _log):
     th.manual_seed(config["seed"])
     config['env_args']['seed'] = config["seed"]
 
+    if config["use_cuda"]:
+        th.backends.cudnn.deterministic = True
+        th.backends.cudnn.benchmark = False
+    
     # run the framework
     run(_run, config, _log)
 
@@ -92,7 +96,9 @@ def config_copy(config):
 
     # Save to disk by default for sacred
     logger.info("Saving to FileStorageObserver in results/sacred.")
-    file_obs_path = os.path.join(results_path, "sacred")
+    file_obs_path = os.path.join(os.path.join(
+        os.path.join(results_path, config_dict['env_args']['map_name']), config_dict['name']), "sacred")
+    
     ex.observers.append(FileStorageObserver.create(file_obs_path))
 
     ex.run_commandline(params)