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---
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)
```
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