Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
ppo
dqn
deep-rl-course
Eval Results (legacy)
Instructions to use SnEhAh018/ppo-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SnEhAh018/ppo-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SnEhAh018/ppo-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
23 days ago
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Update results.json with deterministic eval score 271.94
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Update README metadata with deterministic eval score 271.94
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Upload Unit 3 model (mean_reward 342.25, score 271.94)
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Upload Unit 3 trained PPO SpaceInvaders model immediately upon meeting >200 threshold
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Upload Unit 3 trained PPO SpaceInvaders model immediately upon meeting >200 threshold
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initial commit
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