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Taxi-v3-final
MattStammers/Taxi-v3-final
Taxi-v3-final is a reinforcement learning model from MattStammers. 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 Aug 15, 2023
Repo size
24.4 KB
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.mp4107 KB · 80%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Aug 15, 2023
- Updated
- Aug 15, 2023
- SHA
- 0a3d4952
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="MattStammers/q-FrozenLake-v1-8x8-Slippery-final", 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"])
This was an accident but it worked - it is obviously cheating somehow but it was fully unintentional
'env_id': 'Taxi-v3', 'max_steps': 200, 'n_training_episodes': 2000000, 'n_eval_episodes': 100, 'eval_seed': [], 'learning_rate': 0.15, 'gamma': 0.99, 'max_epsilon': 1, 'min_epsilon': 0.05, 'decay_rate': 0.0005,
- Task
- Reinforcement Learning
- Created
- Aug 15, 2023
- Updated
- Aug 15, 2023