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
| using System; | |
| namespace Unity.MLAgents | |
| { | |
| /// <summary> | |
| /// Factory class for an ICommunicator instance. This is used to the <see cref="Academy"/> at startup. | |
| /// By default, on desktop platforms, an ICommunicator will be created and attempt to connect | |
| /// to a trainer. This behavior can be prevented by setting <see cref="CommunicatorFactory.Enabled"/> to false | |
| /// *before* the <see cref="Academy"/> is initialized. | |
| /// </summary> | |
| public static class CommunicatorFactory | |
| { | |
| static Func<ICommunicator> s_Creator; | |
| static bool s_Enabled = true; | |
| /// <summary> | |
| /// Whether or not an ICommunicator instance will be created when the <see cref="Academy"/> is initialized. | |
| /// Changing this has no effect after the <see cref="Academy"/> has already been initialized. | |
| /// </summary> | |
| public static bool Enabled | |
| { | |
| get => s_Enabled; | |
| set => s_Enabled = value; | |
| } | |
| public static bool CommunicatorRegistered => s_Creator != null; | |
| internal static ICommunicator Create() | |
| { | |
| return s_Enabled ? s_Creator() : null; | |
| } | |
| public static void Register<T>(Func<T> creator) where T : ICommunicator | |
| { | |
| s_Creator = () => creator(); | |
| } | |
| public static void ClearCreator() | |
| { | |
| s_Creator = null; | |
| } | |
| } | |
| } | |