Remove GATE-related code.

src/primaite/game/agent/GATE_agents.py

@@ -1,31 +0,0 @@
-# flake8: noqa
-from typing import Dict, Optional, Tuple
-
-from gymnasium.core import ActType, ObsType
-
-from primaite.game.agent.actions import ActionManager
-from primaite.game.agent.interface import AbstractGATEAgent, ObsType
-from primaite.game.agent.observations import ObservationSpace
-from primaite.game.agent.rewards import RewardFunction
-
-
-class GATERLAgent(AbstractGATEAgent):
-    ...
-    # The communication with GATE needs to be handled by the PrimaiteSession, rather than by individual agents,
-    # because when we are supporting MARL, the actions form multiple agents will have to be batched
-
-    # For example MultiAgentEnv in Ray allows sending a dict of observations of multiple agents, then it will reply
-    # with the actions for those agents.
-
-    def __init__(
-        self,
-        agent_name: str | None,
-        action_space: ActionManager | None,
-        observation_space: ObservationSpace | None,
-        reward_function: RewardFunction | None,
-    ) -> None:
-        super().__init__(agent_name, action_space, observation_space, reward_function)
-        self.most_recent_action: ActType
-
-    def get_action(self, obs: ObsType, reward: float = None) -> Tuple[str, Dict]:
-        return self.most_recent_action

src/primaite/game/agent/interface.py

@@ -76,7 +76,7 @@ class AbstractAgent(ABC):
         :return: Action to be taken in the environment.
         :rtype: Tuple[str, Dict]
         """
-        # in RL agent, this method will send CAOS observation to GATE RL agent, then receive a int 0-39,
+        # in RL agent, this method will send CAOS observation to RL agent, then receive a int 0-39,
         # then use a bespoke conversion to take 1-40 int back into CAOS action
         return ("DO_NOTHING", {})
 
@@ -108,9 +108,3 @@ class RandomAgent(AbstractScriptedAgent):
         :rtype: Tuple[str, Dict]
         """
         return self.action_space.get_action(self.action_space.space.sample())
-
-
-class AbstractGATEAgent(AbstractAgent):
-    """Base class for actors controlled via external messages, such as RL policies."""
-
-    ...