Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use umesh251/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use umesh251/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="umesh251/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Download run_logs/training_status.json from umesh251/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 983 Bytes
-
https://huggingface.co/umesh251/ppo-SnowballTarget/resolve/main/run_logs/training_status.json
- Command line
-
hf download hf://umesh251/ppo-SnowballTarget/run_logs/training_status.json
-
curl -L -o training_status.json https://huggingface.co/umesh251/ppo-SnowballTarget/resolve/main/run_logs/training_status.json
983 Bytes
| { | |
| "SnowballTarget": { | |
| "checkpoints": [ | |
| { | |
| "steps": 47608, | |
| "file_path": "results/SnowballTarget1/SnowballTarget/SnowballTarget-47608.onnx", | |
| "reward": 15.545454545454545, | |
| "creation_time": 1683548699.1464617, | |
| "auxillary_file_paths": [ | |
| "results/SnowballTarget1/SnowballTarget/SnowballTarget-47608.pt" | |
| ] | |
| } | |
| ], | |
| "final_checkpoint": { | |
| "steps": 47608, | |
| "file_path": "results/SnowballTarget1/SnowballTarget.onnx", | |
| "reward": 15.545454545454545, | |
| "creation_time": 1683548699.1464617, | |
| "auxillary_file_paths": [ | |
| "results/SnowballTarget1/SnowballTarget/SnowballTarget-47608.pt" | |
| ] | |
| } | |
| }, | |
| "metadata": { | |
| "stats_format_version": "0.3.0", | |
| "mlagents_version": "0.31.0.dev0", | |
| "torch_version": "1.11.0+cu102" | |
| } | |
| } |