Push Q-Learning agent to Hub

README.md

@@ -1,6 +1,6 @@
 ---
 tags:
-- FrozenLake-v1-8x8-no_slippery
+- FrozenLake-v1-4x4-no_slippery
 - q-learning
 - reinforcement-learning
 - custom-implementation
@@ -11,8 +11,8 @@ model-index:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
-      name: FrozenLake-v1-8x8-no_slippery
-      type: FrozenLake-v1-8x8-no_slippery
+      name: FrozenLake-v1-4x4-no_slippery
+      type: FrozenLake-v1-4x4-no_slippery
     metrics:
     - type: mean_reward
       value: 0.00 +/- 0.00

q-learning.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 2469
+oid sha256:566a5ba8d8583e9ccfbdacb2b22cd7e285f43bd5e123cf0b6889f6d7c9344a9d
+size 1573

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb0116ddd1fcab2622a7458ceee60e1f412916dd93b3b5b2be2e15f7d0367cdf
-size 135865
+oid sha256:03cbc5a8d3876eea41b7b9fef79856f9cf3e05642e9f0f442c12f1aee312ba70
+size 81396

results.json

@@ -1 +1 @@
-{"env_id": "FrozenLake-v1", "mean_reward": 0.0, "n_eval_episodes": 100, "eval_datetime": "2024-11-12T14:18:29.103327"}
+{"env_id": "FrozenLake-v1", "mean_reward": 0.0, "n_eval_episodes": 100, "eval_datetime": "2024-11-12T14:24:27.043967"}