Reinforcement Learning
stable-baselines3
PyTorch
English
Korean
deep-reinforcement-learning
ppo
proximal-policy-optimization
cartpole-v1
gymnasium
openai-gym
classic-control
robotics
physical-ai
sim-to-real
zero-shot-transfer
domain-randomization
inverted-pendulum
optimal-control
lqr-control
control-theory
interactive-demo
Eval Results (legacy)
Instructions to use hwihwalab/cartpole-v1-ppo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use hwihwalab/cartpole-v1-ppo with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="hwihwalab/cartpole-v1-ppo", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Hwihwa_Lab
chore: untrack and remove Korean jupyter notebook from public HF and GitHub repos
7115a00