Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
ppo
deep-rl-course
Eval Results (legacy)
Instructions to use Srikarraod/ppo-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Srikarraod/ppo-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Srikarraod/ppo-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
ppo-SpaceInvadersNoFrameskip-v4
This model is a trained PPO agent playing SpaceInvadersNoFrameskip-v4 using the stable-baselines3 library. It was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Course Assignment Info
- Course Unit: Unit 3
- Environment:
SpaceInvadersNoFrameskip-v4 - Library:
stable-baselines3 - Evaluation Reward:
350.00 +/- 20.00
Usage
# Model created for Hugging Face Deep RL Course Certification
- Downloads last month
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Evaluation results
- mean_reward on SpaceInvadersNoFrameskip-v4self-reported350.00 +/- 20.00