Upload folder using huggingface_hub

README.md

@@ -0,0 +1,35 @@
+---
+tags:
+- Taxi-v3
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: Taxi-v3
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Taxi-v3
+      type: Taxi-v3
+    metrics:
+    - type: mean_reward
+      value: 7.56 +/- 2.71
+      name: mean_reward
+      verified: false
+---
+
+    # **Q-Learning** Agent playing1 **Taxi-v3**
+    This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
+
+    ## Usage
+
+    ```python
+    
+    model = load_from_hub(repo_id="mache102/Taxi-v3", 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"])
+    ```
+    

q-learning.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bdff3b44830f7ec5a038ad91d0979a4eef066ac02a3c832ab4ac2aed7dd3129
+size 24570

results.json

@@ -0,0 +1 @@
+{"env_id": "Taxi-v3", "mean_reward": 7.56, "n_eval_episodes": 100, "eval_datetime": "2023-06-23T09:28:53.404383"}