Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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50 行
1.3 KiB

using System;
using UnityEngine;
using UnityEngine.UI;
using MLAgents;
using MLAgents.SideChannels;
public class CubeWarSettings : MonoBehaviour
{
[HideInInspector]
public GameObject[] agents;
[HideInInspector]
public CubeWarArea[] listArea;
public int totalScore;
public Text scoreText;
StatsSideChannel m_statsSideChannel;
// public void Awake()
// {
// Academy.Instance.OnEnvironmentReset += EnvironmentReset;
// m_statsSideChannel = Academy.Instance.GetSideChannel<StatsSideChannel>();
// }
// public void EnvironmentReset()
// {
//
// agents = GameObject.FindGameObjectsWithTag("agent");
// listArea = FindObjectsOfType<CubeWarArea>();
// foreach (var fa in listArea)
// {
// fa.ResetWarArea(agents);
// }
//
// totalScore = 0;
// }
// public void Update()
// {
// scoreText.text = $"Score: {totalScore}";
//
// // Send stats via SideChannel so that they'll appear in TensorBoard.
// // These values get averaged every summary_frequency steps, so we don't
// // need to send every Update() call.
// if ((Time.frameCount % 100)== 0)
// {
// m_statsSideChannel?.AddStat("TotalScore", totalScore);
// }
// }
}