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README.md

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+---
+tags:
+- Blackjack-v1
+- q-learning
+- reinforcement-learning
+- custom-implementation
+model-index:
+- name: BlackJack-RL-1
+  results:
+  - task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: Blackjack-v1
+      type: Blackjack-v1
+    metrics:
+    - type: mean_reward
+      value: -0.02 +/- 0.96
+      name: mean_reward
+      verified: false
+---
+
+  # **Q-Learning** Agent playing1 **Blackjack-v1**
+  This is a trained model of a **Q-Learning** agent playing **Blackjack-v1** .
+
+  ## Usage
+
+  ```python
+
+  model = load_from_hub(repo_id="Kidjon/BlackJack-RL-1", 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

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5e042baaa4e8e03469cab244c638a2b6a1c3935db5a4567909c182fbd7aa222c
+size 11640

results.json

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+{"env_id": "Blackjack-v1", "mean_reward": -0.02, "n_eval_episodes": 100, "eval_datetime": "2025-02-01T09:17:20.891621"}