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 UnityEngine; | |
| public class PyramidSwitch : MonoBehaviour | |
| { | |
| public Material onMaterial; | |
| public Material offMaterial; | |
| public GameObject myButton; | |
| bool m_State; | |
| GameObject m_Area; | |
| PyramidArea m_AreaComponent; | |
| int m_PyramidIndex; | |
| public bool GetState() | |
| { | |
| return m_State; | |
| } | |
| void Start() | |
| { | |
| m_Area = gameObject.transform.parent.gameObject; | |
| m_AreaComponent = m_Area.GetComponent<PyramidArea>(); | |
| } | |
| public void ResetSwitch(int spawnAreaIndex, int pyramidSpawnIndex) | |
| { | |
| m_AreaComponent.PlaceObject(gameObject, spawnAreaIndex); | |
| m_State = false; | |
| m_PyramidIndex = pyramidSpawnIndex; | |
| tag = "switchOff"; | |
| transform.rotation = Quaternion.Euler(0f, 0f, 0f); | |
| myButton.GetComponent<Renderer>().material = offMaterial; | |
| } | |
| void OnCollisionEnter(Collision other) | |
| { | |
| if (other.gameObject.CompareTag("agent") && m_State == false) | |
| { | |
| myButton.GetComponent<Renderer>().material = onMaterial; | |
| m_State = true; | |
| m_AreaComponent.CreatePyramid(1, m_PyramidIndex); | |
| tag = "switchOn"; | |
| } | |
| } | |
| } | |