Downloads · 30 days
0
q-FrozenLake-v1-4x4-noSlippery
Shlomo/q-FrozenLake-v1-4x4-noSlippery
q-FrozenLake-v1-4x4-noSlippery is a reinforcement learning model from Shlomo. 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 Sep 18, 2023
Repo size
914 B
Likes
0
Public
Repo makeup
Click a slice to open those files.
.mp431.1 KB · 90%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Sep 18, 2023
- Updated
- Sep 18, 2023
- SHA
- f6ef8931
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
model = load_from_hub(repo_id="Shlomo/q-FrozenLake-v1-4x4-noSlippery", 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"])
- Task
- Reinforcement Learning
- Created
- Sep 18, 2023
- Updated
- Sep 18, 2023