Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-rl-course
Eval Results (legacy)
Instructions to use Subhash3008/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Subhash3008/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Subhash3008/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Subhash3008/dqn-SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 752 Bytes
-
https://huggingface.co/Subhash3008/dqn-SpaceInvadersNoFrameskip-v4/resolve/main/README.md
- Command line
-
hf download hf://Subhash3008/dqn-SpaceInvadersNoFrameskip-v4/README.md
-
curl -L -o README.md https://huggingface.co/Subhash3008/dqn-SpaceInvadersNoFrameskip-v4/resolve/main/README.md
752 Bytes
metadata
tags:
- reinforcement-learning
- SpaceInvadersNoFrameskip-v4
- stable-baselines3
- deep-rl-course
model-index:
- name: dqn-SpaceInvadersNoFrameskip-v4
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: SpaceInvadersNoFrameskip-v4
type: SpaceInvadersNoFrameskip-v4
metrics:
- type: mean_reward
value: 780.0 +/- 45.0
name: mean_reward
DQN SpaceInvadersNoFrameskip-v4
This is a trained model for the Hugging Face Deep Reinforcement Learning Course.
- Environment:
SpaceInvadersNoFrameskip-v4 - Library:
stable-baselines3 - Evaluation Score:
780.0 +/- 45.0
Trained and submitted by Subhash3008.