Instructions to use huggsook/ppo-pusher-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use huggsook/ppo-pusher-v5 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="huggsook/ppo-pusher-v5", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
🤖 PPO Pusher-v5 3D Interactive RL Simulation & Visualizer
A complete web-based interactive 3D simulation and learning visualization tool for the Gymnasium Pusher-v5 robotic arm environment trained with Stable-Baselines3 PPO.
✨ Features
- 3D Robot Arm Simulation (Three.js): Real-time Inverse Kinematics, physics collision, and trajectory visualization.
- Interactive Manipulation: Drag the Goal or Puck with your mouse to test the agent's real-time adaptability.
- Checkpoint Time Machine: Switch between Step 0 (Untrained), Step 10k (Novice), Step 25k (Intermediate), and Step 50k (Master).
- Live Telemetry & Dashboard (Chart.js): Reward convergence curve, policy & value loss dynamics.
- One-Click Bundle Export: Download the trained model weights, PyTorch training scripts, and telemetry logs as a
.zipfile.
- Downloads last month
- -