diff --git a/eval_experiments.py b/eval_experiments.py
index a30fbe0..6eb47b1 100644
--- a/eval_experiments.py
+++ b/eval_experiments.py
@@ -6,7 +6,7 @@ import json
 
 activations = [torch.nn.Tanh, torch.nn.LeakyReLU]
 
-def main(method:str='expert', folder:str=None, locations=[(0,0)], skip_running=False, save_videos:bool=False, videos_folder:str='videos'):
+def main(method:str='expert', folder:str=None, locations=[(0,0)], skip_running=False, save_videos:bool=False, videos_folder:str='videos', first_seed_only:bool=False):
     
     exclude_keys_from_policy_kwargs = {'learning_rate', 'learning_rate_decay', 'clip_ratio', 'iterations_per_epoch', 'option'}
     policy_kwargs = {}
@@ -30,8 +30,13 @@ def main(method:str='expert', folder:str=None, locations=[(0,0)], skip_running=F
     if folder is not None:
         files = [os.path.join(folder, f) for f in os.listdir(folder) if os.path.isfile(os.path.join(folder, f))]
         files = [f for f in files if f.endswith('.pt')]
+
+        if first_seed_only:
+            files = files[:1]
+
         with open(os.path.join(folder, 'config.json'), 'rb') as f:
             config = json.load(f)
+            
         print('%i policy files found in %s folder' %(len(files), folder))
         print('found policy config', config['policy'])
 
diff --git a/generate_videos.sh b/generate_videos.sh
index 49f1103..9233d8d 100755
--- a/generate_videos.sh
+++ b/generate_videos.sh
@@ -3,18 +3,18 @@
 
 # Experiment A
 python -m eval_experiments 
-python -m eval_experiments --method expert_agent --save_videos
-python -m eval_experiments --method idm --save_videos
-python -m eval_experiments --method bc --folder='test_policies/bc/expA' --save_videos
-python -m eval_experiments --method gail --folder='test_policies/gail/expA' --save_videos
-python -m eval_experiments --method hail --folder='test_policies/hail/expA' --save_videos
-python -m eval_experiments --method shail --folder='test_policies/shail/expA' --save_videos
+python -m eval_experiments --method expert_agent --save_videos --first_seed_only
+python -m eval_experiments --method idm --save_videos --first_seed_only
+python -m eval_experiments --method bc --folder='test_policies/bc/expA' --save_videos --first_seed_only
+python -m eval_experiments --method gail --folder='test_policies/gail/expA' --save_videos --first_seed_only
+python -m eval_experiments --method hail --folder='test_policies/hail/expA' --save_videos --first_seed_only
+python -m eval_experiments --method shail --folder='test_policies/shail/expA' --save_videos --first_seed_only
 
 # Experiment B
 python -m eval_experiments --locations='[(0,4)]' 
-python -m eval_experiments --method expert_agent --locations='[(0,4)]' --save_videos
-python -m eval_experiments --method idm --locations='[(0,4)]' --save_videos
-python -m eval_experiments --method bc --folder='test_policies/bc/expB' --locations='[(0,4)]' --save_videos
-python -m eval_experiments --method gail --folder='test_policies/gail/expB' --locations='[(0,4)]' --save_videos
-python -m eval_experiments --method hail --folder='test_policies/hail/expB' --locations='[(0,4)]' --save_videos
-python -m eval_experiments --method shail --folder='test_policies/shail/expB' --locations='[(0,4)]' --save_videos
+python -m eval_experiments --method expert_agent --locations='[(0,4)]' --save_videos --first_seed_only
+python -m eval_experiments --method idm --locations='[(0,4)]' --save_videos --first_seed_only
+python -m eval_experiments --method bc --folder='test_policies/bc/expB' --locations='[(0,4)]' --save_videos --first_seed_only
+python -m eval_experiments --method gail --folder='test_policies/gail/expB' --locations='[(0,4)]' --save_videos --first_seed_only
+python -m eval_experiments --method hail --folder='test_policies/hail/expB' --locations='[(0,4)]' --save_videos --first_seed_only
+python -m eval_experiments --method shail --folder='test_policies/shail/expB' --locations='[(0,4)]' --save_videos --first_seed_only