diff --git a/smart_control/dataset/dataset.py b/smart_control/dataset/dataset.py
index 435f7ed1..a66bb6dc 100644
--- a/smart_control/dataset/dataset.py
+++ b/smart_control/dataset/dataset.py
@@ -71,18 +71,18 @@ def zip_filepath(self):
   def building_dirpath(self):
     """The local directory containing the building's dataset, after it has been
     extracted from the local zip file.
-    """
+    """  # pylint: disable=line-too-long
     return os.path.join(DATA_DIR, self.dataset_id)
 
   def download(self, timeout=60):
     """Downloads the building's dataset from Google Cloud Storage.
 
     Only downloads and unzips the dataset if it doesn't already exist at the
-      expected [`building_dirpath`](./#smart_control.dataset.dataset.BuildingDataset.building_dirpath)
+      expected [`building_dirpath`][smart_control.dataset.dataset.BuildingDataset.building_dirpath]
       location. Otherwise it will load the existing local data.
 
     Download speed is fairly quick, but unzipping takes a few moments.
-    """
+    """  # pylint: disable=line-too-long
     if os.path.isdir(self.building_dirpath):
       print("Using previously-downloaded data...")
       print(os.path.abspath(self.building_dirpath))
@@ -119,9 +119,9 @@ def floorplan(self) -> np.ndarray:
       + 1: wall / boundary
       + 2: outside / external space
 
-    Use the [`display_floorplan`](./#smart_control.dataset.dataset.BuildingDataset.display_floorplan)
+    Use the [`display_floorplan`][smart_control.dataset.dataset.BuildingDataset.display_floorplan]
       method to view an image of the floorplan.
-    """
+    """  # pylint: disable=line-too-long
     return np.load(self.floorplan_filepath)
 
   @property
@@ -149,8 +149,8 @@ def display_floorplan(
       show (bool): Whether or not to show the image.
       save (bool): Whether or not to save the image (as a .png file).
       image_filepath (str): An optional custom filepath to use when saving the
-        image. Only applies if `save=True`. By default, saves to the [`floorplan_image_filepath`](./#smart_control.dataset.dataset.BuildingDataset.floorplan_image_filepath)
-    """
+        image. Only applies if `save=True`. By default, saves to the [`floorplan_image_filepath`][smart_control.dataset.dataset.BuildingDataset.floorplan_image_filepath]
+    """  # pylint: disable=line-too-long
     plt.imshow(self.floorplan, interpolation="nearest", cmap=cmap)
     if show:
       plt.show()
diff --git a/smart_control/dataset/partition.py b/smart_control/dataset/partition.py
index ebfee3fc..f911c684 100644
--- a/smart_control/dataset/partition.py
+++ b/smart_control/dataset/partition.py
@@ -84,7 +84,7 @@ def metadata_filepath(self):
 
   @cached_property
   def metadata(self) -> dict:
-    """Metadata describing the partition [`data`](./#smart_control.dataset.partition.BuildingDatasetPartition.data).
+    """Metadata describing the partition [`data`][smart_control.dataset.partition.BuildingDatasetPartition.data].
 
     Returns:
       A dictionary containing the following keys:
@@ -99,7 +99,7 @@ def metadata(self) -> dict:
 
         Each of these keys has a corresponding public method for convenience.
         See corresponding documentation below for more information about each.
-    """
+    """  # pylint: disable=line-too-long
     metadata = pickle.load(open(self.metadata_filepath, "rb"))
     # renaming keys:
     metadata = {
@@ -146,20 +146,20 @@ def action_ids_map(self) -> dict:
     """A mapping of unique action identifiers.
 
     Returns:
-      A dictionary where the keys are the [`action_ids`](./#smart_control.dataset.partition.BuildingDatasetPartition.action_ids)
+      A dictionary where the keys are the [`action_ids`][smart_control.dataset.partition.BuildingDatasetPartition.action_ids]
         and the values are unique integers referencing column indices in the
-        [`action_value_matrix`](./#smart_control.dataset.partition.BuildingDatasetPartition.action_value_matrix)
+        [`action_value_matrix`][smart_control.dataset.partition.BuildingDatasetPartition.action_value_matrix]
 
         For example:
 
-        ```py
+```py
           {
             '12945159110931775488@supply_air_temperature_setpoint': 0,
             '13761436543392677888@supply_water_temperature_setpoint': 1,
             '14409954889734029312@supply_air_temperature_setpoint': 2
           }
-        ```
-    """
+```
+    """  # pylint: disable=line-too-long
     return self.metadata["action_ids_map"]
 
   @cached_property
@@ -167,20 +167,20 @@ def observation_ids_map(self) -> dict:
     """A mapping of unique observation identifiers.
 
     Returns:
-      A dictionary where the keys are the [`observation_ids`](./#smart_control.dataset.partition.BuildingDatasetPartition.observation_ids)
+      A dictionary where the keys are the [`observation_ids`][smart_control.dataset.partition.BuildingDatasetPartition.observation_ids]
         and the values are unique integers referencing column indices in the
-        [`observation_value_matrix`](./#smart_control.dataset.partition.BuildingDatasetPartition.observation_value_matrix).
+        [`observation_value_matrix`][smart_control.dataset.partition.BuildingDatasetPartition.observation_value_matrix].
 
         For example:
 
-        ```py
+```py
           {
             '202194278473007104@building_air_static_pressure_setpoint', 0,
             ...
             '2640423556868160@zone_air_temperature_sensor': 1197
           }
-        ```
-    """
+```
+    """  # pylint: disable=line-too-long
     return self.metadata["observation_ids_map"]
 
   @cached_property
@@ -190,19 +190,19 @@ def reward_info_ids_map(self) -> dict:
     See: `RewardInfo` in "smart_control/proto/smart_control_reward.proto".
 
     Returns:
-      A dictionary where the keys are the [`reward_info_ids`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_info_ids)
-        and the values are unique integers referencing column indices in the [`reward_info_value_matrix`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_info_value_matrix).
+      A dictionary where the keys are the [`reward_info_ids`][smart_control.dataset.partition.BuildingDatasetPartition.reward_info_ids]
+        and the values are unique integers referencing column indices in the [`reward_info_value_matrix`][smart_control.dataset.partition.BuildingDatasetPartition.reward_info_value_matrix].
 
         For example:
 
-        ```py
+```py
           {
             'rooms/9028552126@heating_setpoint_temperature': 0
             ...
             '14409954889734029312@air_conditioning_electrical_energy_rate': 3251
           }
-        ```
-    """
+```
+    """  # pylint: disable=line-too-long
     return self.metadata["reward_info_ids_map"]
 
   @cached_property
@@ -212,9 +212,9 @@ def reward_ids_map(self) -> dict:
     See: `RewardResponse` in "smart_control/proto/smart_control_reward.proto".
 
     Returns:
-      A dictionary where the keys are the [`reward_ids`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_ids)
-        and the values are unique integers referencing column indices in the [`reward_value_matrix`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_value_matrix).
-    """
+      A dictionary where the keys are the [`reward_ids`][smart_control.dataset.partition.BuildingDatasetPartition.reward_ids]
+        and the values are unique integers referencing column indices in the [`reward_value_matrix`][smart_control.dataset.partition.BuildingDatasetPartition.reward_value_matrix].
+    """  # pylint: disable=line-too-long
     return {
         "agent_reward_value": 0,
         "productivity_reward": 1,
@@ -235,6 +235,7 @@ def reward_ids_map(self) -> dict:
         "normalized_carbon_emission": 16,
     }
 
+    
   @cached_property
   def action_ids(self) -> list[str]:
     """A list of unique action identifiers.
@@ -340,13 +341,12 @@ def _construct_time_series_df(self, matrix_name, ids_name, timestamps_name):
 
   @cached_property
   def actions_df(self) -> pd.DataFrame:
-    # pylint: disable=line-too-long
     """A time-series dataframe of numeric action values, constructed from the
     following components:
 
-      + Columns are the [`action_ids`](./#smart_control.dataset.partition.BuildingDatasetPartition.action_ids)
-      + Row indices are the [`action_timestamps`](./#smart_control.dataset.partition.BuildingDatasetPartition.action_timestamps)
-      + Cell values are from the [`action_value_matrix`](./#smart_control.dataset.partition.BuildingDatasetPartition.action_value_matrix)
+      + Columns are the [`action_ids`][smart_control.dataset.partition.BuildingDatasetPartition.action_ids]
+      + Row indices are the [`action_timestamps`][smart_control.dataset.partition.BuildingDatasetPartition.action_timestamps]
+      + Cell values are from the [`action_value_matrix`][smart_control.dataset.partition.BuildingDatasetPartition.action_value_matrix]
 
     Returns:
       A `pandas.DataFrame`. Here is an example of the structure:
@@ -359,8 +359,7 @@ def actions_df(self) -> pd.DataFrame:
         | 2022-01-01 00:15:00+00:00 | 288.703705                                            | ... | 291.481476                                            |
         | 2022-01-01 00:20:00+00:00 | 288.703705                                            | ... | 291.481476                                            |
 
-    """
-    # pylint: enable=line-too-long
+    """  # pylint: disable=line-too-long
     return self._construct_time_series_df(
         matrix_name="action_value_matrix",
         ids_name="action_ids_map",
@@ -369,13 +368,12 @@ def actions_df(self) -> pd.DataFrame:
 
   @cached_property
   def observations_df(self) -> pd.DataFrame:
-    # pylint: disable=line-too-long
     """A time-series dataframe of numeric observation values, constructed from the
     following components:
 
-      + Columns are the [`observation_ids`](./#smart_control.dataset.partition.BuildingDatasetPartition.observation_ids)
-      + Row indices are the [`observation_timestamps`](./#smart_control.dataset.partition.BuildingDatasetPartition.observation_timestamps)
-      + Cell values are from the [`observation_value_matrix`](./#smart_control.dataset.partition.BuildingDatasetPartition.observation_value_matrix)
+      + Columns are the [`observation_ids`][smart_control.dataset.partition.BuildingDatasetPartition.observation_ids]
+      + Row indices are the [`observation_timestamps`][smart_control.dataset.partition.BuildingDatasetPartition.observation_timestamps]
+      + Cell values are from the [`observation_value_matrix`][smart_control.dataset.partition.BuildingDatasetPartition.observation_value_matrix]
 
     Returns:
       A `pandas.DataFrame`. Here is an example of the structure:
@@ -388,8 +386,7 @@ def observations_df(self) -> pd.DataFrame:
         | 2022-01-01 00:15:00+00:00 | 7.472401                                                 | ... | 68.000000                                    |
         | 2022-01-01 00:20:00+00:00 | 7.472401                                                 | ... | 68.000000                                    |
 
-    """
-    # pylint: enable=line-too-long
+    """  # pylint: disable=line-too-long
     return self._construct_time_series_df(
         matrix_name="observation_value_matrix",
         ids_name="observation_ids_map",
@@ -398,13 +395,12 @@ def observations_df(self) -> pd.DataFrame:
 
   @cached_property
   def rewards_df(self) -> pd.DataFrame:
-    # pylint: disable=line-too-long
     """A time-series dataframe of numeric reward values, constructed from the
     following components:
 
-      + Columns are the [`reward_ids`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_ids)
-      + Row indices are the [`reward_timestamps`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_timestamps)
-      + Cell values are from the [`reward_value_matrix`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_value_matrix)
+      + Columns are the [`reward_ids`][smart_control.dataset.partition.BuildingDatasetPartition.reward_ids]
+      + Row indices are the [`reward_timestamps`][smart_control.dataset.partition.BuildingDatasetPartition.reward_timestamps]
+      + Cell values are from the [`reward_value_matrix`][smart_control.dataset.partition.BuildingDatasetPartition.reward_value_matrix]
 
     Returns:
       A `pandas.DataFrame`. Here is an example of the structure:
@@ -416,8 +412,8 @@ def rewards_df(self) -> pd.DataFrame:
         | 2022-01-01 00:05:00+00:00 | -1.002312e-08      | ... | 1.782538e-08               |
         | 2022-01-01 00:10:00+00:00 | -1.002312e-08      | ... | 1.782538e-08               |
         | 2022-01-01 00:15:00+00:00 | -5.737567e-09      | ... | 1.020384e-08               |
-    """
-    # pylint: enable=line-too-long
+
+    """  # pylint: disable=line-too-long
     return self._construct_time_series_df(
         matrix_name="reward_value_matrix",
         ids_name="reward_ids_map",
@@ -426,13 +422,12 @@ def rewards_df(self) -> pd.DataFrame:
 
   @cached_property
   def reward_infos_df(self) -> pd.DataFrame:
-    # pylint: disable=line-too-long
     """A time-series dataframe of numeric reward info values, constructed from
     the following components:
 
-      + Columns are the [`reward_info_ids`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_info_ids)
-      + Row indices are the [`reward_info_timestamps`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_info_timestamps)
-      + Cell values are from the [`reward_info_value_matrix`](./#smart_control.dataset.partition.BuildingDatasetPartition.reward_info_value_matrix)
+      + Columns are the [`reward_info_ids`][smart_control.dataset.partition.BuildingDatasetPartition.reward_info_ids]
+      + Row indices are the [`reward_info_timestamps`][smart_control.dataset.partition.BuildingDatasetPartition.reward_info_timestamps]
+      + Cell values are from the [`reward_info_value_matrix`][smart_control.dataset.partition.BuildingDatasetPartition.reward_info_value_matrix]
 
     Returns:
       A `pandas.DataFrame`. Here is an example of the structure:
@@ -444,8 +439,8 @@ def reward_infos_df(self) -> pd.DataFrame:
         | 2022-01-01 00:05:00+00:00 | 294.0                                         | ... | 0.0                                                           |
         | 2022-01-01 00:10:00+00:00 | 294.0                                         | ... | 0.0                                                           |
         | 2022-01-01 00:15:00+00:00 | 294.0                                         | ... | 0.0                                                           |
-    """
-    # pylint: enable=line-too-long
+
+    """  # pylint: disable=line-too-long
     return self._construct_time_series_df(
         matrix_name="reward_info_value_matrix",
         ids_name="reward_info_ids_map",
diff --git a/smart_control/simulator/building_radiation_utils.py b/smart_control/simulator/building_radiation_utils.py
index 180ef1e5..e1b0dc1f 100644
--- a/smart_control/simulator/building_radiation_utils.py
+++ b/smart_control/simulator/building_radiation_utils.py
@@ -82,7 +82,7 @@ def calculate_ifa_inv(F: np.ndarray, A_inv: np.ndarray) -> np.ndarray:
 
   $$IFA_{inv} = (I - F) \tilde{A}^{-1}$$
 
-  See [`net_radiative_heatflux_function_of_T`](./#smart_control.simulator.building_radiation_utils.net_radiative_heatflux_function_of_T) for more details.
+  See [`net_radiative_heatflux_function_of_T`][smart_control.simulator.building_radiation_utils.net_radiative_heatflux_function_of_t] for more details.
 
   Args:
       F (np.ndarray): The view factor matrix.
@@ -90,7 +90,7 @@ def calculate_ifa_inv(F: np.ndarray, A_inv: np.ndarray) -> np.ndarray:
 
   Returns:
       IFA_inv : The IFA inverse matrix.
-  """
+  """  # pylint: disable=line-too-long
 
   n = F.shape[0]