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 Unity.MLAgents.Sensors;
using UnityEngine;
namespace Unity.MLAgents.Extensions.Match3
{
/// <summary>
/// Sensor component for a Match3 game.
/// </summary>
[AddComponentMenu("ML Agents/Match 3 Sensor", (int)MenuGroup.Sensors)]
public class Match3SensorComponent : SensorComponent
{
/// <summary>
/// Name of the generated Match3Sensor object.
/// Note that changing this at runtime does not affect how the Agent sorts the sensors.
/// </summary>
public string SensorName = "Match3 Sensor";
/// <summary>
/// Type of observation to generate.
/// </summary>
public Match3ObservationType ObservationType = Match3ObservationType.Vector;
/// <inheritdoc/>
public override ISensor CreateSensor()
{
var board = GetComponent<AbstractBoard>();
return new Match3Sensor(board, ObservationType, SensorName);
}
/// <inheritdoc/>
public override int[] GetObservationShape()
{
var board = GetComponent<AbstractBoard>();
if (board == null)
{
return System.Array.Empty<int>();
}
var specialSize = board.NumSpecialTypes == 0 ? 0 : board.NumSpecialTypes + 1;
return ObservationType == Match3ObservationType.Vector ?
new[] { board.Rows * board.Columns * (board.NumCellTypes + specialSize) } :
new[] { board.Rows, board.Columns, board.NumCellTypes + specialSize };
}
}
}