Update expected values in DecisionTransformerModelIntegrationTest (#18016)

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/decision_transformer/test_modeling_decision_transformer.py

@@ -206,7 +206,9 @@ class DecisionTransformerModelIntegrationTest(unittest.TestCase):
         torch.manual_seed(0)
         state = torch.randn(1, 1, config.state_dim).to(device=torch_device, dtype=torch.float32)  # env.reset()
 
-        expected_outputs = torch.tensor([[0.2384, -0.2955, 0.8741], [0.6765, -0.0793, -0.1298]], device=torch_device)
+        expected_outputs = torch.tensor(
+            [[0.242793, -0.28693074, 0.8742613], [0.67815274, -0.08101085, -0.12952147]], device=torch_device
+        )
 
         returns_to_go = torch.tensor(TARGET_RETURN, device=torch_device, dtype=torch.float32).reshape(1, 1, 1)
         states = state