chore: set the default aggregate_rewards to True

mava/configs/env/connector.yaml

@@ -6,8 +6,8 @@ defaults:
 
 env_name: Connector # Used for logging purposes.
 
-# Choose whether to aggregate individual rewards into a shared team reward or not
-aggregate_rewards: False  # If True, use the list of individual rewards.
+# Choose whether to aggregate individual rewards into a shared team reward or not.
+aggregate_rewards: True
 
 # Defines the metric that will be used to evaluate the performance of the agent.
 # This metric is returned at the end of an experiment and can be used for hyperparameter tuning.

mava/configs/env/lbf.yaml

@@ -6,8 +6,8 @@ defaults:
 
 env_name: LevelBasedForaging # Used for logging purposes.
 
-# Choose whether to aggregate individual rewards into a shared team reward or not
-aggregate_rewards: False  # If True, use the list of individual rewards.
+# Choose whether to aggregate individual rewards into a shared team reward or not.
+aggregate_rewards: True
 
 # Defines the metric that will be used to evaluate the performance of the agent.
 # This metric is returned at the end of an experiment and can be used for hyperparameter tuning.

mava/configs/env/vector-connector.yaml

@@ -6,8 +6,8 @@ defaults:
 
 env_name: VectorConnector # Used for logging purposes.
 
-# Choose whether to aggregate individual rewards into a shared team reward or not
-aggregate_rewards: True  # If True, use the list of individual rewards.
+# Choose whether to aggregate individual rewards into a shared team reward or not.
+aggregate_rewards: True
 
 # Defines the metric that will be used to evaluate the performance of the agent.
 # This metric is returned at the end of an experiment and can be used for hyperparameter tuning.

mava/wrappers/jumanji.py

@@ -180,7 +180,7 @@ def __init__(
         self,
         env: LevelBasedForaging,
         add_global_state: bool = False,
-        aggregate_rewards: bool = False,
+        aggregate_rewards: bool = True,
     ):
         super().__init__(env, add_global_state)
         self._env: LevelBasedForaging
@@ -244,7 +244,7 @@ class ConnectorWrapper(JumanjiMarlWrapper):
     """
 
     def __init__(
-        self, env: Connector, add_global_state: bool = False, aggregate_rewards: bool = False
+        self, env: Connector, add_global_state: bool = False, aggregate_rewards: bool = True
     ):
         super().__init__(env, add_global_state)
         self._env: Connector
@@ -365,7 +365,7 @@ class VectorConnectorWrapper(JumanjiMarlWrapper):
     """
 
     def __init__(
-        self, env: Connector, add_global_state: bool = False, aggregate_rewards: bool = False
+        self, env: Connector, add_global_state: bool = False, aggregate_rewards: bool = True
     ):
         self.fov = 2
         super().__init__(env, add_global_state)