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README.md

@@ -1,22 +1,23 @@
 ---
 tags:
-- FrozenLake-v1-4x4-no_slippery
+- FrozenLake-v1-4x4
 - q-learning
 - reinforcement-learning
 - custom-implementation
 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
+      name: FrozenLake-v1-4x4
+      type: FrozenLake-v1-4x4
+    metrics:
+    - type: mean_reward
+      value: 0.61 +/- 0.49
+      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 sha256:11998b6c2a65c09c6ceeee8926252ce72728f0a360ae3b2662d91520e91cdad0
+size 902

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56ba66361f81e2d1dc4305e8bf921c20f263b0bc4d100906461f7c0c85364958
-size 31943
+oid sha256:0803bb52a3f4f260e9dea2dac46ccd8e5d2e2bfb182abb972e5cb273929e1271
+size 45063

results.json

@@ -1 +1 @@
-{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2022-08-13T18:33:07.055865"}
+{"env_id": "FrozenLake-v1", "mean_reward": 0.61, "n_eval_episodes": 100, "eval_datetime": "2022-12-15T13:35:05.002635"}