Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use arrandi/PyramidTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use arrandi/PyramidTraining with ml-agents:
mlagents-load-from-hf --repo-id="arrandi/PyramidTraining" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "Pyramids": { | |
| "checkpoints": [ | |
| { | |
| "steps": 499875, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-499875.onnx", | |
| "reward": -0.9996000503500303, | |
| "creation_time": 1679486176.376411, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-499875.pt" | |
| ] | |
| }, | |
| { | |
| "steps": 999983, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-999983.onnx", | |
| "reward": 1.6613749880343676, | |
| "creation_time": 1679487330.3850489, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-999983.pt" | |
| ] | |
| }, | |
| { | |
| "steps": 1000111, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-1000111.onnx", | |
| "reward": 1.6613749880343676, | |
| "creation_time": 1679487330.5466764, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-1000111.pt" | |
| ] | |
| } | |
| ], | |
| "final_checkpoint": { | |
| "steps": 1000111, | |
| "file_path": "results/Pyramids Training/Pyramids.onnx", | |
| "reward": 1.6613749880343676, | |
| "creation_time": 1679487330.5466764, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-1000111.pt" | |
| ] | |
| } | |
| }, | |
| "metadata": { | |
| "stats_format_version": "0.3.0", | |
| "mlagents_version": "0.31.0.dev0", | |
| "torch_version": "1.11.0" | |
| } | |
| } |