Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use PedroPlusPlus/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use PedroPlusPlus/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="PedroPlusPlus/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Initial commit
Browse files- dqn-SpaceInvadersNoFrameskip-v4.zip +1 -1
- dqn-SpaceInvadersNoFrameskip-v4/data +0 -0
- results.json +1 -1
- train_eval_metrics.zip +1 -1
dqn-SpaceInvadersNoFrameskip-v4.zip
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dqn-SpaceInvadersNoFrameskip-v4/data
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results.json
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{"mean_reward": 329.5, "std_reward": 129.97018888960653, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2024-12-
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{"mean_reward": 329.5, "std_reward": 129.97018888960653, "is_deterministic": false, "n_eval_episodes": 10, "eval_datetime": "2024-12-02T13:57:09.844063"}
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train_eval_metrics.zip
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