updated sequential agent

sequential_agent/run_test.py

@@ -66,9 +66,9 @@ for trials in range(1, n_trials + 1):
         for a in range(env.get_num_agents()):
             if done[a]:
                 acting_agent += 1
-                print(acting_agent)
             if a == acting_agent:
                 action = agent.act(obs[a], eps=0)
+                print(action)
             else:
                 action = 4
             action_dict.update({a: action})

sequential_agent/simple_order_agent.py

@@ -12,7 +12,7 @@ class OrderedAgent:
         :param state: input is the observation of the agent
         :return: returns an action
         """
-        _, distance, _ = split_tree(tree=np.array(state), num_features_per_node=9,
+        _, distance, _ = split_tree(tree=np.array(state), num_features_per_node=11,
                                     current_depth=0)
         distance = distance[1:]
         min_dist = min_gt(distance, 0)