 
# **Q-Learning** Agent playing1 **FrozenLake-v1** 
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** . 
## Usage 
```python 
model = load_from_hub(repo_id="YCHuang2112/q-FrozenLake-v1-8x8-Slippery", 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"]) 

{"tags": ["FrozenLake-v1-8x8", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-8x8-Slippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-8x8", "type": "FrozenLake-v1-8x8"}, "metrics": [{"type": "mean_reward", "value": "0.60 +/- 0.49", "name": "mean_reward", "verified": false}]}]}]}
FrozenLake-v1-8x8 q-learning reinforcement-learning custom-implementation model-index region:us
TAGS
#FrozenLake-v1-8x8 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us 

 
# Q-Learning Agent playing1 FrozenLake-v1 
This is a trained model of a Q-Learning agent playing FrozenLake-v1 . 
## Usage 
'''python 
model = load_from_hub(repo_id="YCHuang2112/q-FrozenLake-v1-8x8-Slippery", filename="URL") 
# Don't forget to check if you need to add additional attributes (is_slippery=False etc) 
env = URL(model["env_id"]) 

# Q-Learning Agent playing1 FrozenLake-v1 
This is a trained model of a Q-Learning agent playing FrozenLake-v1 . ## Usage 
'''python 
model = load_from_hub(repo_id="YCHuang2112/q-FrozenLake-v1-8x8-Slippery", filename="URL") # Don't forget to check if you need to add additional attributes (is_slippery=False etc) 
env = URL(model["env_id"])
TAGS
#FrozenLake-v1-8x8 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us 
 # Q-Learning Agent playing1 FrozenLake-v1 
This is a trained model of a Q-Learning agent playing FrozenLake-v1 . ## Usage 
'''python 
model = load_from_hub(repo_id="YCHuang2112/q-FrozenLake-v1-8x8-Slippery", filename="URL") # Don't forget to check if you need to add additional attributes (is_slippery=False etc) 
env = URL(model["env_id"])