---
tags:
- CartPole-v1
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q_learning-Cartpole
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: CartPole-v1
      type: CartPole-v1
    metrics:
    - type: mean_reward
      value: 248.33 +/- 140.57
      name: mean_reward
      verified: false
---

  # **Q-Learning** Agent playing1 **CartPole-v1**
  This is a trained model of a **Q-Learning** agent playing **CartPole-v1** .

  ## Usage

  ```python

  model = load_from_hub(repo_id="erfan1380/q_learning-Cartpole", 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"])
  ```