Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use umesh251/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use umesh251/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="umesh251/ppo-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "Pyramids": { | |
| "checkpoints": [ | |
| { | |
| "steps": 499877, | |
| "file_path": "results\\First Training\\Pyramids\\Pyramids-499877.onnx", | |
| "reward": 1.5509999245405197, | |
| "creation_time": 1655888583.8329303, | |
| "auxillary_file_paths": [ | |
| "results\\First Training\\Pyramids\\Pyramids-499877.pt" | |
| ] | |
| }, | |
| { | |
| "steps": 999983, | |
| "file_path": "results\\First Training\\Pyramids\\Pyramids-999983.onnx", | |
| "reward": 1.6339999735355377, | |
| "creation_time": 1655889609.7258599, | |
| "auxillary_file_paths": [ | |
| "results\\First Training\\Pyramids\\Pyramids-999983.pt" | |
| ] | |
| }, | |
| { | |
| "steps": 1000111, | |
| "file_path": "results\\First Training\\Pyramids\\Pyramids-1000111.onnx", | |
| "reward": 1.6339999735355377, | |
| "creation_time": 1655889609.8388586, | |
| "auxillary_file_paths": [ | |
| "results\\First Training\\Pyramids\\Pyramids-1000111.pt" | |
| ] | |
| } | |
| ], | |
| "final_checkpoint": { | |
| "steps": 1000111, | |
| "file_path": "results\\First Training\\Pyramids.onnx", | |
| "reward": 1.6339999735355377, | |
| "creation_time": 1655889609.8388586, | |
| "auxillary_file_paths": [ | |
| "results\\First Training\\Pyramids\\Pyramids-1000111.pt" | |
| ] | |
| } | |
| }, | |
| "metadata": { | |
| "stats_format_version": "0.3.0", | |
| "mlagents_version": "0.29.0.dev0", | |
| "torch_version": "1.11.0+cpu" | |
| } | |
| } |