diff --git a/docs/source/game_layer.rst b/docs/source/game_layer.rst
index ba400ac2..af3eadc6 100644
--- a/docs/source/game_layer.rst
+++ b/docs/source/game_layer.rst
@@ -26,10 +26,8 @@ Agents
 All agents inherit from the :py:class:`primaite.game.agent.interface.AbstractAgent` class, which mandates that they have an ObservationManager, ActionManager, and RewardManager. The agent behaviour depends on the type of agent, but there are two main types:
 
 * RL agents action during each step is decided by an appropriate RL algorithm. The agent within PrimAITE just acts to format and forward actions decided by an RL policy.
-* Deterministic agents perform all of their decision making within the PrimAITE game layer. They typically have a scripted policy which always performs the same action or a rule-based policy which performs actions based on the current state of the simulation. They can have a stochastic element, and their seed will be settable.
+* Deterministic agents perform all of their decision making within the PrimAITE game layer. They typically have a scripted policy which always performs the same action or a rule-based policy which performs actions based on the current state of the simulation. They can have a stochastic element, and their seed is settable.
 
-..
-    TODO: add seed to stochastic scripted agents
 
 Observations
 ============
diff --git a/src/primaite/game/agent/rewards.py b/src/primaite/game/agent/rewards.py
index d8cb1328..52bed9e2 100644
--- a/src/primaite/game/agent/rewards.py
+++ b/src/primaite/game/agent/rewards.py
@@ -319,11 +319,11 @@ class SharedReward(AbstractReward):
         """
         Initialise the shared reward.
 
-        The agent_ref is a placeholder value. It starts off as none, but it must be set before this reward can work
+        The agent_name is a placeholder value. It starts off as none, but it must be set before this reward can work
         correctly.
 
         :param agent_name: The name whose reward is an input
-        :type agent_ref: Optional[str]
+        :type agent_name: Optional[str]
         """
         self.agent_name = agent_name
         """Agent whose reward to track."""