diff --git a/Aimbot-PPO-Python/Pytorch/MultiNN-PPO.py b/Aimbot-PPO-Python/Pytorch/MultiNN-PPO.py
index 84c56af..e28eecf 100644
--- a/Aimbot-PPO-Python/Pytorch/MultiNN-PPO.py
+++ b/Aimbot-PPO-Python/Pytorch/MultiNN-PPO.py
@@ -20,7 +20,7 @@ import torch.optim as optim
 SIDE_CHANNEL_UUID = uuid.UUID("8bbfb62a-99b4-457c-879d-b78b69066b5e")
 # tensorboard names
 GAME_NAME = "Aimbot_Hybrid_Full_MNN_MultiLevel"
-GAME_TYPE = "GotoOnly-Level2345"
+GAME_TYPE = "GotoOnly-Level0123-newModel"
 
 if __name__ == "__main__":
     args = parse_args()
diff --git a/Aimbot-PPO-Python/Pytorch/arguments.py b/Aimbot-PPO-Python/Pytorch/arguments.py
index bcfe8fb..e729167 100644
--- a/Aimbot-PPO-Python/Pytorch/arguments.py
+++ b/Aimbot-PPO-Python/Pytorch/arguments.py
@@ -24,7 +24,7 @@ CLIP_COEF = 0.11
 LOSS_COEF = [1.0, 1.0, 1.0, 1.0] # free go attack defence
 POLICY_COEF = [1.0, 1.0, 1.0, 1.0]
 ENTROPY_COEF = [0.05, 0.05, 0.05, 0.05]
-CRITIC_COEF = [0.5, 0.5, 0.5, 0.5]
+CRITIC_COEF = [0.8, 0.8, 0.8, 0.8]
 TARGET_LEARNING_RATE = 1e-6
 
 FREEZE_VIEW_NETWORK = False
@@ -35,7 +35,7 @@ TRAIN = True
 SAVE_MODEL = True
 WANDB_TACK = True
 LOAD_DIR = None
-LOAD_DIR = "../PPO-Model/GotoOnly-Level1234_9331_1697122986/8.853553.pt"
+# LOAD_DIR = "../PPO-Model/GotoOnly-Level1234_9331_1697122986/8.853553.pt"
 
 # Unity Environment Parameters
 TARGET_STATE_SIZE = 6