Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
ppo
deep-rl-course
Eval Results (legacy)
Instructions to use sureshreddy2005/ppo-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sureshreddy2005/ppo-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sureshreddy2005/ppo-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a PPO agent playing SpaceInvadersNoFrameskip-v4 as part of the Hugging Face Deep Reinforcement Learning Course.
Evaluation Results
- Mean Reward: 350.0
- Std Reward: 25.0
- Score (Mean - Std): 325.0
- Minimum Required Score: 200
- Status: PASSED
Usage
Trained for student sureshreddy2005 for Unit Unit 3.
- Downloads last month
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Evaluation results
- mean_reward on SpaceInvadersNoFrameskip-v4self-reported350.00 +/- 25.00