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
ppo-Pyramids-Training / com.unity.ml-agents.extensions /Editor /Input /InputActuatorComponentEditor.cs
| using Unity.MLAgents.Extensions.Input; | |
| using UnityEditor; | |
| namespace Unity.MLAgents.Extensions.Editor.Input | |
| { | |
| [] | |
| internal class InputActuatorComponentEditor : UnityEditor.Editor | |
| { | |
| const string k_ActionSpecName = "m_ActionSpec"; | |
| public override void OnInspectorGUI() | |
| { | |
| var so = serializedObject; | |
| so.Update(); | |
| InputActuatorComponent o = so.targetObject as InputActuatorComponent; | |
| _ = o.ActionSpec; | |
| EditorGUI.indentLevel++; | |
| EditorGUI.BeginDisabledGroup(true); | |
| EditorGUILayout.PropertyField(so.FindProperty(k_ActionSpecName)); | |
| EditorGUI.EndDisabledGroup(); | |
| EditorGUI.indentLevel--; | |
| } | |
| } | |
| } | |