diff --git a/cleanrl/ppo_continuous_action_wandb.py b/cleanrl/ppo_continuous_action_wandb.py
index e4241520..3f587709 100644
--- a/cleanrl/ppo_continuous_action_wandb.py
+++ b/cleanrl/ppo_continuous_action_wandb.py
@@ -609,7 +609,7 @@ def train(cfg):
     cfg.use_risk = False if cfg.risk_model_path == "None" else True 
 
     import wandb 
-    run = wandb.init(config=vars(cfg), entity="manila95",
+    run = wandb.init(config=vars(cfg), entity="kaustubh95",
                    project="risk-aware-exploration",
                    monitor_gym=True,
                    sync_tensorboard=True, save_code=True)
@@ -956,6 +956,9 @@ def train(cfg):
                 writer.add_scalar("Results/Avg_Return", avg_mean_score, global_step)
                 torch.save(agent.state_dict(), os.path.join(wandb.run.dir, "policy.pt"))
                 wandb.save("policy.pt")
+                if cfg.use_csc:
+                    torch.save(qf1.state_dict(), os.path.join(wandb.run.dir, "csc.pt"))
+                    wandb.save("csc.pt")
                 if cfg.use_risk:
                     torch.save(risk_model.state_dict(), os.path.join(wandb.run.dir, "risk_model.pt"))
                     wandb.save("risk_model.pt")