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---
tags:
- BlackJack-v1
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: BlackJack-v1
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: BlackJack-v1
      type: BlackJack-v1
    metrics:
    - type: mean_reward
      value: -0.26 +/- 0.94
      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="nzdb70/BlackJack-v1", 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"])
  ```