Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use AnnaMats/ppo-Pyramids-Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use AnnaMats/ppo-Pyramids-Training with ml-agents:
mlagents-load-from-hf --repo-id="AnnaMats/ppo-Pyramids-Training" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| # ML-Agents Package Settings | |
| ML-Agents Package Settings contains settings that apply to the whole project. | |
| It allows you to configure ML-Agents-specific settings in the Editor. These settings are available for use in both the Editor and Player. | |
| You can find them at `Edit` > `Project Settings...` > `ML-Agents`. It lists out all the available settings and their default values. | |
| ## Create Custom Settings | |
| In order to to use your own settings for your project, you'll need to create a settings asset. | |
| You can do this by clicking the `Create Settings Asset` buttom or clicking the gear on the top right and select `New Settings Asset...`. | |
| The asset file can be placed anywhere in the `Asset/` folder in your project. | |
| After Creating the settings asset, you'll be able to modify the settings for your project and your settings will be saved in the asset. | |
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| ## Multiple Custom Settings for Different Scenarios | |
| You can create multiple settings assets in one project. | |
| By clicking the gear on the top right you'll see all available settings listed in the drop-down menu to choose from. | |
| This allows you to create different settings for different scenatios. For example, you can create two | |
| separate settings for training and inference, and specify which one you want to use according to what you're currently running. | |
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