Add neural baseline agent

agents/neural_baseline_agent.py

@@ -31,11 +31,11 @@ class NeuralBaselineMultiAgent(NeuralMMOMultiAgent):
         self.config = projekt.config.CompetitionRound2()
         max_agents = 8
         self.agent_types = ["neural" for i in range(max_agents)]
-        self.agents = [loadModel(self.config) for i in range(max_agents)]
+        self.agent = loadModel(self.config)
 
     def register_reset(self, observations, agent_idx):
         agent_observations = observations[agent_idx]
-        actions, self.state, _ = self.agents[agent_idx].compute_actions(
+        actions, self.state, _ = self.agent.compute_actions(
             {0: agent_observations}, state={}, policy_id="policy_0"
         )
         return actions[0]

config.py

@@ -2,7 +2,7 @@ from agents import NeuralBaselineMultiAgent, ScriptedBaselineMultiAgent, Scripte
 
 
 class LocalEvaluationConfig:
-    player_agents = [ScriptedBaselineMultiAgentRandom]
+    player_agents = [NeuralBaselineMultiAgent]
 
     opponents = []
     opponents += [ScriptedBaselineMultiAgent] * 15