Update CityLearn.py

CityLearn.py

@@ -16,6 +16,7 @@ _URLS = {
     "s_random4": f"{_BASE_URL}/s_random4.pkl",
     "f_50": f"{_BASE_URL}/f_50x5x1750.pkl",
     "fr_24": f"{_BASE_URL}/fr_24x5x364.pkl",
+    "fn_24": f"{_BASE_URL}/fn_24x5x3649.pkl",
 }
 
 
@@ -60,6 +61,10 @@ class DecisionTransformerCityLearnDataset(datasets.GeneratorBasedBuilder):
             name="fr_24",
             description="Data sampled from an expert policy in CityLearn environment. Used the new reward function. Sequence length = 24, Buildings = 5, Episodes = 1 ",
         ),
+        datasets.BuilderConfig(
+            name="fn_24",
+            description="Data sampled from an expert policy in CityLearn environment. Used the new reward function and changed some interactions with noise. Sequence length = 24, Buildings = 5, Episodes = 10 ",
+        ),
     ]
 
     def _info(self):