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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using System.Collections.Generic;
using UnityEngine;
namespace MLAgents
{
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.Assert(m_SensorShapes.Count == sensors.Count, $"Number of Sensors must match. {m_SensorShapes.Count} != {sensors.Count}");
for (var i = 0; i < m_SensorShapes.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 < cachedShape.Length; j++)
{
Debug.Assert(cachedShape[j] == sensorShape[j], "Sensor sizes much match.");
}
}
}
}
}
}