Added possiblity to record and replay delta actions during teleoperation rather than absolute actions

Co-authored-by: Adil Zouitine <adilzouitinegm@gmail.com>

lerobot/common/policies/hilserl/classifier/modeling_classifier.py

@@ -147,6 +147,8 @@ class Classifier(
 
     def predict_reward(self, x, threshold=0.6):
         if self.config.num_classes == 2:
-            return (self.forward(x).probabilities > threshold).float()
+            probs = self.forward(x).probabilities
+            logging.info(f"Predicted reward images: {probs}")
+            return (probs > threshold).float()
         else:
             return torch.argmax(self.forward(x).probabilities, dim=1)