Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-rl-course
dqn
Eval Results (legacy)
Instructions to use saivarun-mukunda/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use saivarun-mukunda/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="saivarun-mukunda/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
DQN Agent for SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4 for the Hugging Face Deep Reinforcement Learning Course.
Evaluation Result
- Mean Reward: 450.00 +/- 25.00
- Downloads last month
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Evaluation results
- mean_reward on SpaceInvadersNoFrameskip-v4self-reported450.00 +/- 25.00