fix: fill 0 for reward, return, value in make_batch()

DeNA · Apr 18, 2023 · 98b595d · 98b595d
1 parent bc1d4bf
commit 98b595d
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/handyrl/train.py b/handyrl/train.py
@@ -77,9 +77,9 @@ def replace_none(a, b):
         obs = bimap_r(obs_zeros, obs, lambda _, o: np.array(o))
 
         # datum that is not changed by training configuration
-        v = np.array([[replace_none(m['value'][player], [0]) for player in players] for m in moments], dtype=np.float32).reshape(len(moments), len(players), -1)
-        rew = np.array([[replace_none(m['reward'][player], [0]) for player in players] for m in moments], dtype=np.float32).reshape(len(moments), len(players), -1)
-        ret = np.array([[replace_none(m['return'][player], [0]) for player in players] for m in moments], dtype=np.float32).reshape(len(moments), len(players), -1)
+        v = np.array([[replace_none(m['value'][player], 0) for player in players] for m in moments], dtype=np.float32).reshape(len(moments), len(players), -1)
+        rew = np.array([[replace_none(m['reward'][player], 0) for player in players] for m in moments], dtype=np.float32).reshape(len(moments), len(players), -1)
+        ret = np.array([[replace_none(m['return'][player], 0) for player in players] for m in moments], dtype=np.float32).reshape(len(moments), len(players), -1)
         oc = np.array([ep['outcome'][player] for player in players], dtype=np.float32).reshape(1, len(players), -1)
 
         emask = np.ones((len(moments), 1, 1), dtype=np.float32)  # episode mask