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README.md

@@ -7,16 +7,17 @@ tags:
 model-index:
 - name: q-FrozenLake-v1-4x4-noSlippery
   results:
-  - metrics:
-    - type: mean_reward
-      value: 1.00 +/- 0.00
-      name: mean_reward
-    task:
+  - task:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
       name: FrozenLake-v1-4x4-no_slippery
       type: FrozenLake-v1-4x4-no_slippery
+    metrics:
+    - type: mean_reward
+      value: 1.00 +/- 0.00
+      name: mean_reward
+      verified: false
 ---
 
   # **Q-Learning** Agent playing **FrozenLake-v1**

q-learning.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0519ebedbba6e3b664846d64670d2d9af30e1cd8c07be1d3332b1afd52387457
-size 933
+oid sha256:335a145b926ea8ea23bc9fb1f0cf0cf590773a7cea8ec5139ddf6a4b852e17f8
+size 914

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:24c9a80acba57779e3cdcb22355516cca039d869c3b90ebbf7b9c730a3dd91ea
-size 28656
+oid sha256:56ba66361f81e2d1dc4305e8bf921c20f263b0bc4d100906461f7c0c85364958
+size 31943

results.json

@@ -1 +1 @@
-{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2022-05-30T17:51:38.970312"}
+{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2022-10-25T08:00:42.588825"}