Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use ab-naidu/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use ab-naidu/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="ab-naidu/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download training-summary.json from ab-naidu/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 370 Bytes
-
https://huggingface.co/ab-naidu/ppo-SnowballTarget/resolve/main/training-summary.json
- Command line
-
hf download hf://ab-naidu/ppo-SnowballTarget/training-summary.json
-
curl -L -o training-summary.json https://huggingface.co/ab-naidu/ppo-SnowballTarget/resolve/main/training-summary.json
370 Bytes
| { | |
| "run_id": "SnowballTarget1", | |
| "environment": "SnowballTarget", | |
| "algorithm": "PPO", | |
| "training_steps": 200000, | |
| "mlagents_version": "1.1.0", | |
| "torch_version": "2.2.2+cu121", | |
| "hardware": "Tesla T4", | |
| "metrics_type": "training statistics, not independent evaluation", | |
| "last_reported_training_mean_reward": 25.204545974731445, | |
| "last_reported_step": 200000 | |
| } |