Reinforcement Learning
stable-baselines3
CarRacing-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DBusAI/RPPO-CarRacing-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DBusAI/RPPO-CarRacing-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DBusAI/RPPO-CarRacing-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
metadata
library_name: stable-baselines3
tags:
- CarRacing-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: RPPO
results:
- metrics:
- type: mean_reward
value: 614.78 +/- 160.84
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: CarRacing-v0
type: CarRacing-v0
RPPO Agent playing CarRacing-v0
This is a trained model of a RPPO agent playing CarRacing-v0 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code