updated norm function for observation

utils/observation_utils.py

@@ -29,7 +29,7 @@ def min_lt(seq, val):
     return min
 
 
-def norm_obs_clip(obs, clip_min=-1, clip_max=1):
+def norm_obs_clip(obs, clip_min=-1, clip_max=1, fixed_radius=0):
     """
     This function returns the difference between min and max value of an observation
     :param obs: Observation that should be normalized
@@ -37,8 +37,12 @@ def norm_obs_clip(obs, clip_min=-1, clip_max=1):
     :param clip_max: max value where observation will be clipped
     :return: returnes normalized and clipped observatoin
     """
-    max_obs = max(1, max_lt(obs, 1000))
-    min_obs = min(max_obs, min_lt(obs, 0))
+    if fixed_radius > 0:
+        max_obs = fixed_radius
+    else:
+        max_obs = max(1, max_lt(obs, 1000))
+
+    min_obs = 0  # min(max_obs, min_lt(obs, 0))
 
     if max_obs == min_obs:
         return np.clip(np.array(obs) / max_obs, clip_min, clip_max)