#42 run baselines in ci

torch_training/bla.py

+import getopt
+import random
+import sys
+from collections import deque
+
+import matplotlib.pyplot as plt
+import numpy as np
+import torch
+from importlib_resources import path
+
+import torch_training.Nets
+from flatland.envs.generators import complex_rail_generator
+from flatland.envs.observations import TreeObsForRailEnv
+from flatland.envs.predictions import ShortestPathPredictorForRailEnv
+from flatland.envs.rail_env import RailEnv
+from flatland.utils.rendertools import RenderTool
+from torch_training.dueling_double_dqn import Agent
+from utils.observation_utils import norm_obs_clip, split_tree
+
+print("multi_agent_trainging.py (1)")
 print("bla")
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