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q-FrozenLake-v1-4x4-noSlippery-changedEnv
JatinKumar/q-FrozenLake-v1-4x4-noSlippery-changedEnv
q-FrozenLake-v1-4x4-noSlippery-changedEnv is a reinforcement learning model from JatinKumar. 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 Oct 30, 2023
Repo size
914 B
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Repo makeup
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.mp424.3 KB · 88%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Oct 30, 2023
- Updated
- Oct 30, 2023
- SHA
- 246e975b
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="JatinKumar/q-FrozenLake-v1-4x4-noSlippery-changedEnv", 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
- Oct 30, 2023
- Updated
- Oct 30, 2023