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 SoccerBallController : MonoBehaviour | |
| { | |
| public GameObject area; | |
| [] | |
| public SoccerEnvController envController; | |
| public string purpleGoalTag; //will be used to check if collided with purple goal | |
| public string blueGoalTag; //will be used to check if collided with blue goal | |
| void Start() | |
| { | |
| envController = area.GetComponent<SoccerEnvController>(); | |
| } | |
| void OnCollisionEnter(Collision col) | |
| { | |
| if (col.gameObject.CompareTag(purpleGoalTag)) //ball touched purple goal | |
| { | |
| envController.GoalTouched(Team.Blue); | |
| } | |
| if (col.gameObject.CompareTag(blueGoalTag)) //ball touched blue goal | |
| { | |
| envController.GoalTouched(Team.Purple); | |
| } | |
| } | |
| } | |