Reinforcement Learning
Transformers
TensorBoard
ONNX
Taxi-v3
q-learning
custom-implementation
Eval Results (legacy)
Instructions to use jackoyoungblood/DeepRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jackoyoungblood/DeepRL with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jackoyoungblood/DeepRL", dtype="auto") - Notebooks
- Google Colab
- Kaggle
A2C Agent playing HalfCheetahBulletEnv-v0
This is a trained model of a A2C agent playing HalfCheetahBulletEnv-v0 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Downloads last month
- 9
Evaluation results
- mean_reward on Taxi-v3self-reported7.56 +/- 2.71