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; | |
| using System.Collections.Generic; | |
| using Unity.MLAgents.SideChannels; | |
| namespace Unity.MLAgents | |
| { | |
| /// <summary> | |
| /// A container for the Environment Parameters that may be modified during training. | |
| /// The keys for those parameters are defined in the trainer configurations and the | |
| /// the values are generated from the training process in features such as Curriculum Learning | |
| /// and Environment Parameter Randomization. | |
| /// | |
| /// One current assumption for all the environment parameters is that they are of type float. | |
| /// </summary> | |
| public sealed class EnvironmentParameters | |
| { | |
| /// <summary> | |
| /// The side channel that is used to receive the new parameter values. | |
| /// </summary> | |
| readonly EnvironmentParametersChannel m_Channel; | |
| /// <summary> | |
| /// Constructor. | |
| /// </summary> | |
| internal EnvironmentParameters() | |
| { | |
| m_Channel = new EnvironmentParametersChannel(); | |
| SideChannelManager.RegisterSideChannel(m_Channel); | |
| } | |
| /// <summary> | |
| /// Returns the parameter value for the specified key. Returns the default value provided | |
| /// if this parameter key does not have a value. Only returns a parameter value if it is | |
| /// of type float. | |
| /// </summary> | |
| /// <param name="key">The parameter key</param> | |
| /// <param name="defaultValue">Default value for this parameter.</param> | |
| /// <returns></returns> | |
| public float GetWithDefault(string key, float defaultValue) | |
| { | |
| return m_Channel.GetWithDefault(key, defaultValue); | |
| } | |
| /// <summary> | |
| /// Registers a callback action for the provided parameter key. Will overwrite any | |
| /// existing action for that parameter. The callback will be called whenever the parameter | |
| /// receives a value from the training process. | |
| /// </summary> | |
| /// <param name="key">The parameter key</param> | |
| /// <param name="action">The callback action</param> | |
| public void RegisterCallback(string key, Action<float> action) | |
| { | |
| m_Channel.RegisterCallback(key, action); | |
| } | |
| /// <summary> | |
| /// Returns a list of all the parameter keys that have received values. | |
| /// </summary> | |
| /// <returns>List of parameter keys.</returns> | |
| public IList<string> Keys() | |
| { | |
| return m_Channel.ListParameters(); | |
| } | |
| internal void Dispose() | |
| { | |
| SideChannelManager.UnregisterSideChannel(m_Channel); | |
| } | |
| } | |
| } | |