Push Q-Learning agent to Hub

README.md

@@ -1,6 +1,6 @@
 ---
 tags:
-- FrozenLake-v1-4x4
+- FrozenLake-v1-4x4-4x4
 - q-learning
 - reinforcement-learning
 - custom-implementation
@@ -9,14 +9,14 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: 0.66 +/- 0.47
+      value: 0.75 +/- 0.43
       name: mean_reward
     task:
       type: reinforcement-learning
       name: reinforcement-learning
     dataset:
-      name: FrozenLake-v1-4x4
-      type: FrozenLake-v1-4x4
+      name: FrozenLake-v1-4x4-4x4
+      type: FrozenLake-v1-4x4-4x4
 ---
 
   # **Q-Learning** Agent playing **FrozenLake-v1**

replay.mp4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c020b271765a1b6916fc0cb7916d6a0ca286bfb2e89f07269b4f0bc4021a64c9
-size 59925
+oid sha256:c60fd664d72216827fed538881384eb89df465e361a3ed48328d9d3295487677
+size 50156

results.json

@@ -1 +1 @@
-{"env_id": "FrozenLake-v1-4x4", "mean_reward": 0.66, "n_eval_episodes": 100, "eval_datetime": "2022-06-11T10:57:33.644969"}
+{"env_id": "FrozenLake-v1-4x4", "mean_reward": 0.75, "n_eval_episodes": 100, "eval_datetime": "2022-06-11T10:58:40.223995"}