#42 run baselines in ci

torch_training/bla.py

@@ -82,6 +82,12 @@ def main(argv):
     agent_obs = [None] * env.get_num_agents()
     agent_next_obs = [None] * env.get_num_agents()
     agent = Agent(state_size, action_size, "FC", 0)
+    with path(torch_training.Nets, "avoid_checkpoint30000.pth") as file_in:
+        agent.qnetwork_local.load_state_dict(torch.load(file_in))
+
+    demo = False
+    record_images = False
+    frame_step = 0
 
 print("multi_agent_trainging.py (2)")