refactored training without shield

examples/shields/rl/13_minigridsb.py

@@ -19,6 +19,9 @@ GRID_TO_PRISM_BINARY=os.getenv("M2P_BINARY")
 def mask_fn(env: gym.Env):
     return env.create_action_mask()
 
+def nomask_fn(env: gym.Env):
+    return [1.0] * 7
+
 
 def main():
     args = parse_sb3_arguments()
@@ -26,17 +29,21 @@ def main():
     formula = args.formula
     shield_value = args.shield_value
     shield_comparison = args.shield_comparison
+    logDir = create_log_dir(args)
 
     shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, args.grid_file, args.prism_output_file, formula, shield_value=shield_value, shield_comparison=shield_comparison)
     env = gym.make(args.env, render_mode="rgb_array")
     env = RGBImgObsWrapper(env) # Get pixel observations
     env = ImgObsWrapper(env) # Get rid of the 'mission' field
     env = MiniWrapper(env)
-    env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False, mask_actions=args.shielding == ShieldingConfig.Full)
+    if args.shielding == ShieldingConfig.Full or args.shielding == ShieldingConfig.Training:
+        env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)
         env = ActionMasker(env, mask_fn)
-    logDir = create_log_dir(args)
+    else:
+        env = ActionMasker(env, nomask_fn)
     model = MaskablePPO("CnnPolicy", env, verbose=1, tensorboard_log=logDir, device="auto")
 
+
     evalCallback = EvalCallback(env, best_model_save_path=logDir,
                                 log_path=logDir, eval_freq=max(500,  int(args.steps/30)),
                                 deterministic=True, render=False)

examples/shields/rl/sb3utils.py

@@ -3,7 +3,7 @@ import numpy as np
 import random
 
 from utils import MiniGridShieldHandler, common_parser
-from stable_baselines3.common.callbacks import BaseCallback, EvalCallback, CheckpointCallback
+from stable_baselines3.common.callbacks import BaseCallback, CheckpointCallback
 from stable_baselines3.common.logger import Image
 
 class MiniGridSbShieldingWrapper(gym.core.Wrapper):
@@ -11,11 +11,9 @@ class MiniGridSbShieldingWrapper(gym.core.Wrapper):
                  env,
                  shield_handler : MiniGridShieldHandler,
                  create_shield_at_reset = True,
-                 mask_actions=True,
                  ):
         super().__init__(env)
         self.shield_handler = shield_handler
-        self.mask_actions = mask_actions
         self.create_shield_at_reset = create_shield_at_reset
 
         shield = self.shield_handler.create_shield(env=self.env)
@@ -30,7 +28,7 @@ class MiniGridSbShieldingWrapper(gym.core.Wrapper):
     def reset(self, *, seed=None, options=None):
         obs, infos = self.env.reset(seed=seed, options=options)
 
-        if self.create_shield_at_reset and self.mask_actions:
+        if self.create_shield_at_reset:
             shield = self.shield_handler.create_shield(env=self.env)
             self.shield = shield
         return obs, infos