---
tags:
- FrozenLake-v1-4x4
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q-FrozenLake-v1-4x4-Slippery
  results:
  - task:
      type: reinforcement-learning
      name: reinforcement-learning
    dataset:
      name: FrozenLake-v1-4x4
      type: FrozenLake-v1-4x4
    metrics:
    - type: mean_reward
      value: 0.73 +/- 0.44
      name: mean_reward
      verified: false
---

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

  ## Usage

  ```python
  import gym
  from huggingface_sb3 import load_from_hub 
  
  model = load_from_hub(
    repo_id="dmenini/q-FrozenLake-v1-4x4-Slippery",
    filename="q-learning.pkl"
  )
  
  env = gym.make("FrozenLake-v1", map_name="4x4", is_slippery=True)
  ```