Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Yujana/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Yujana/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Yujana/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4 using the stable-baselines3 library.
Evaluation Results
- Mean Reward: 646.00 +/- 287.55
- Score (Mean - Std): 358.45 (Requirement: >= 200.0)
Usage (with Stable-baselines3)
from stable_baselines3 import DQN
from huggingface_sb3 import load_from_hub
checkpoint = load_from_hub(
repo_id="Yujana/dqn-SpaceInvadersNoFrameskip-v4",
filename="dqn-SpaceInvadersNoFrameskip-v4.zip",
)
model = DQN.load(checkpoint)
- Downloads last month
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Evaluation results
- mean_reward on SpaceInvadersNoFrameskip-v4self-reported646.00 +/- 287.55