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q-FrozenLake-v1-8x8-Slippery
dmenini/q-FrozenLake-v1-8x8-Slippery
q-FrozenLake-v1-8x8-Slippery is a reinforcement learning model from dmenini. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
Access
Public
Updated Mar 5, 2023
Repo size
7.3 KB
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0
Public
Repo makeup
Click a slice to open those files.
.mp4162 KB · 97%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Mar 5, 2023
- Updated
- Mar 5, 2023
- SHA
- 7cf802d5
Model card
From the Hugging Face model README
Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
Usage
import gym
from huggingface_sb3 import load_from_hub
model = load_from_hub(
repo_id="dmenini/q-FrozenLake-v1-8x8-Slippery",
filename="q-learning.pkl"
)
env = gym.make("FrozenLake-v1", map_name="8x8", is_slippery=True)
- Task
- Reinforcement Learning
- Created
- Mar 5, 2023
- Updated
- Mar 5, 2023