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ThomasSimonini/q-Taxi-v3
q-Taxi-v3 is a reinforcement learning model from ThomasSimonini. 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 .
Downloads · 30 days
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Updated May 20, 2022
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From the Hugging Face model README
This is a trained model of a Q-Learning agent playing Taxi-v3 .
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"])