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README.md

@@ -7,16 +7,17 @@ tags:
 model-index:
 - name: q-Taxi-v3
   results:
-  - metrics:
-    - type: mean_reward
-      value: 7.54 +/- 2.73
-      name: mean_reward
-    task:
+  - task:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
       name: Taxi-v3
       type: Taxi-v3
+    metrics:
+    - type: mean_reward
+      value: 7.52 +/- 2.74
+      name: mean_reward
+      verified: false
 ---
 
   # **Q-Learning** Agent playing **Taxi-v3**

q-learning.pkl

@@ -1,3 +1,3 @@
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-size 24589
+oid sha256:8700c0090b67597bb4cb42f0e6a562d3c42665958ae4138175eb1e2a1d21c0c6
+size 24570

replay.mp4

@@ -1,3 +1,3 @@
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-oid sha256:bd00e680ec5c39bb8c1f3b1d69695b49a9e1d263d8b321bb8a27bec7711febe2
-size 105063
+oid sha256:e4347238ed04a47f16c6920804b10624835eedeea7948d5712c9caf992bcd429
+size 129993

results.json

@@ -1 +1 @@
-{"env_id": "Taxi-v3", "mean_reward": 7.54, "n_eval_episodes": 100, "eval_datetime": "2022-05-30T12:42:33.368765"}
+{"env_id": "Taxi-v3", "mean_reward": 7.52, "n_eval_episodes": 100, "eval_datetime": "2023-06-17T19:46:39.477188"}