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。
您最多选择25个主题 主题必须以中文或者字母或数字开头,可以包含连字符 (-),并且长度不得超过35个字符
 
 
 
 
 

48 行
1.8 KiB

using System.Collections.Generic;
using UnityEngine;
namespace Unity.MLAgents.Sensors
{
internal class SensorShapeValidator
{
List<int[]> m_SensorShapes;
/// <summary>
/// Check that the List Sensors are the same shape as the previous ones.
/// If this is the first List of Sensors being checked, its Sensor sizes will be saved.
/// </summary>
public void ValidateSensors(List<ISensor> sensors)
{
if (m_SensorShapes == null)
{
m_SensorShapes = new List<int[]>(sensors.Count);
// First agent, save the sensor sizes
foreach (var sensor in sensors)
{
m_SensorShapes.Add(sensor.GetObservationShape());
}
}
else
{
// Check for compatibility with the other Agents' Sensors
// TODO make sure this only checks once per agent
Debug.AssertFormat(
m_SensorShapes.Count == sensors.Count,
"Number of Sensors must match. {0} != {1}",
m_SensorShapes.Count,
sensors.Count
);
for (var i = 0; i < Mathf.Min(m_SensorShapes.Count, sensors.Count); i++)
{
var cachedShape = m_SensorShapes[i];
var sensorShape = sensors[i].GetObservationShape();
Debug.Assert(cachedShape.Length == sensorShape.Length, "Sensor dimensions must match.");
for (var j = 0; j < Mathf.Min(cachedShape.Length, sensorShape.Length); j++)
{
Debug.Assert(cachedShape[j] == sensorShape[j], "Sensor sizes must match.");
}
}
}
}
}
}