#1648 - Updated file header from 'Crown Owned Copyright (C) Dstl 2023. DEFCON 703. Shared in confidence.' to '© Crown-owned copyright 2023, Defence Science and Technology Laboratory UK'

benchmark/config/benchmark_training_config.yaml

@@ -62,7 +62,7 @@ observation_space:
     - name: LINK_TRAFFIC_LEVELS
 
 # Number of episodes for training to run per session
-num_train_episodes: 500
+num_train_episodes: 10
 
 # Number of time_steps for training per episode
 num_train_steps: 256

benchmark/primaite_benchmark.py

@@ -393,11 +393,7 @@ def _plot_all_benchmarks_combined_session_av():
                 metadata_dict = json.load(file)
             df = _get_df_from_episode_av_reward_dict(metadata_dict["combined_av_reward_per_episode"])
 
-            fig.add_trace(
-                go.Scatter(
-                    x=df["episode"], y=df["rolling_av_reward"], mode="lines", name=dir.name, line={"color": "#FF0000"}
-                )
-            )
+            fig.add_trace(go.Scatter(x=df["episode"], y=df["rolling_av_reward"], mode="lines", name=dir.name))
 
     # Set the layout of the graph
     fig.update_layout(
@@ -417,7 +413,7 @@ def run():
     """Run the PrimAITE benchmark."""
     start_datetime = datetime.now()
     av_reward_per_episode_dicts = {}
-    for i in range(1, 11):
+    for i in range(1, 3):
         print(f"Starting Benchmark Session: {i}")
         with _get_benchmark_primaite_session() as session:
             session.learn()