put in agent parsing skeleton

src/primaite/game/agent/interface.py

@@ -0,0 +1,35 @@
+# TODO: remove this comment... This is just here to point out that I've named this 'actor' rather than 'agent'
+# That's because I want to point out that this is disctinct from 'agent' in the reinforcement learning sense of the word
+# If you disagree, make a comment in the PR review and we can discuss
+from abc import ABC, abstractmethod
+from typing import Any, Dict, List, Optional
+
+from primaite.game.agent.actions import ActionSpace
+from primaite.game.agent.observations import ObservationSpace
+from primaite.game.agent.rewards import RewardFunction
+
+
+class AbstractAgent(ABC):
+    """Base class for scripted and RL agents."""
+
+    def __init__(
+        self,
+        action_space: Optional[ActionSpace],
+        observation_space: Optional[ObservationSpace],
+        reward_function: Optional[RewardFunction],
+    ) -> None:
+        self.action_space: Optional[ActionSpace] = action_space
+        self.observation_space: Optional[ObservationSpace] = observation_space
+        self.reward_function: Optional[RewardFunction] = reward_function
+
+
+class AbstractScriptedAgent(AbstractAgent):
+    """Base class for actors which generate their own behaviour."""
+
+    ...
+
+
+class AbstractGATEAgent(AbstractAgent):
+    """Base class for actors controlled via external messages, such as RL policies."""
+
+    ...