Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Mithul/Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Mithul/Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Mithul/Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "Pyramids": { | |
| "checkpoints": [ | |
| { | |
| "steps": 499992, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-499992.onnx", | |
| "reward": -0.9994000494480133, | |
| "creation_time": 1677250648.1185372, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-499992.pt" | |
| ] | |
| }, | |
| { | |
| "steps": 999921, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-999921.onnx", | |
| "reward": 1.5841666460037231, | |
| "creation_time": 1677251843.887994, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-999921.pt" | |
| ] | |
| }, | |
| { | |
| "steps": 1000049, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-1000049.onnx", | |
| "reward": 1.5841666460037231, | |
| "creation_time": 1677251843.9991577, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-1000049.pt" | |
| ] | |
| } | |
| ], | |
| "final_checkpoint": { | |
| "steps": 1000049, | |
| "file_path": "results/Pyramids Training/Pyramids.onnx", | |
| "reward": 1.5841666460037231, | |
| "creation_time": 1677251843.9991577, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-1000049.pt" | |
| ] | |
| } | |
| }, | |
| "metadata": { | |
| "stats_format_version": "0.3.0", | |
| "mlagents_version": "0.29.0.dev0", | |
| "torch_version": "1.8.1+cu102" | |
| } | |
| } |