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Unit2TaxiEnv
Ape50/Unit2TaxiEnv
Unit2TaxiEnv is a reinforcement learning model from Ape50. 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 Taxi-v3 .
Access
Public
Updated Apr 16, 2025
Repo size
282 KB
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.mp4117 KB · 81%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- 88254c89
Model card
From the Hugging Face model README
Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
Usage
model = load_from_hub(repo_id="Ape50/Unit2TaxiEnv", 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
- Apr 16, 2025
- Updated
- Apr 16, 2025