Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
dqn
deep-rl-course
Eval Results (legacy)
Instructions to use mohanpoduri2005/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mohanpoduri2005/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mohanpoduri2005/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Trained DQN Agent for SpaceInvadersNoFrameskip-v4
This model is a trained DQN agent submitted for Unit 3 of the Hugging Face Deep Reinforcement Learning Course.
Model Details
- User: mohanpoduri2005
- Unit: Unit 3
- Environment:
SpaceInvadersNoFrameskip-v4 - Library:
stable-baselines3 - Algorithm: DQN
- Evaluation Score:
450.0 +/- 35.0 - Min Passing Result Required:
200
Usage
This repository contains the trained model weights and evaluation metadata ready to be benchmarked and evaluated on the Deep RL Course Leaderboard.
- Downloads last month
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Evaluation results
- mean_reward on SpaceInvadersNoFrameskip-v4self-reported450.0 +/- 35.0