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README.md

@@ -1,35 +1,35 @@
----
-tags:
-- FrozenLake-v1-4x4-no_slippery
-- q-learning
-- reinforcement-learning
-- custom-implementation
-model-index:
-- name: q-FrozenLake-v1-4x4-noSlippery
-  results:
-  - 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 playing1 **FrozenLake-v1**
-  This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
-
-  ## Usage
-
-  ```python
-
-  model = load_from_hub(repo_id="bocchi-julia/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
-
-  # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
-  env = gym.make(model["env_id"])
-  ```
+---
+tags:
+- FrozenLake-v1-4x4-no_slippery
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: q-FrozenLake-v1-4x4-noSlippery
+  results:
+  - 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 playing1 **FrozenLake-v1**
+  This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
+
+  ## Usage
+
+  ```python
+
+  model = load_from_hub(repo_id="bocchi-julia/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
+
+  # Don't forget to check if you need to add additional attributes (is_slippery=False etc)
+  env = gym.make(model["env_id"])
+  ```
   

results.json

@@ -1 +1 @@
-{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2025-02-03T20:33:46.095675"}
+{"env_id": "FrozenLake-v1", "mean_reward": 1.0, "n_eval_episodes": 100, "eval_datetime": "2025-02-03T12:33:53.557335"}