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q-Taxi-v3-course-done
dhanushh011/q-Taxi-v3-course-done
q-Taxi-v3-course-done is a reinforcement learning model from dhanushh011. 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 Sep 22, 2026
Repo size
130 KB
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.mp4105 KB · 80%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Sep 22, 2026
- Updated
- Sep 22, 2026
- SHA
- b0bc1d7a
Model card
From the Hugging Face model README
Q-Learning Agent playing Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
Usage
pickle_model = load_from_hub(repo_id="ThomasSimonini/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery etc)
env = gym.make(model["env_id"])
evaluate_agent(env, model["max_steps"], model["n_eval_episodes"], model["qtable"], model["eval_seed"])
- Task
- Reinforcement Learning
- Created
- Sep 22, 2026
- Updated
- Sep 22, 2026