Added q-Taxi-v3 trained model

README.md

@@ -1,33 +1,3 @@
 ---
-tags:
-- Taxi-v3
-- q-learning
-- reinforcement-learning
-- custom-implementation
-model-index:
-- name: Taxi-v3-Q-Learning
-  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="majid2001/q-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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 24570
+oid sha256:654653dc49b894aae9a11c41b3720c1d283994ebc6a96904413e034634ddc751
+size 24572