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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81 行
2.6 KiB

using System;
using Unity.MLAgents.Actuators;
using UnityEngine;
using UnityEngine.Serialization;
namespace Unity.MLAgents.Integrations.Match3
{
/// <summary>
/// Actuator component for a Match3 game. Generates a Match3Actuator at runtime.
/// </summary>
[AddComponentMenu("ML Agents/Match 3 Actuator", (int)MenuGroup.Actuators)]
public class Match3ActuatorComponent : ActuatorComponent
{
[HideInInspector, SerializeField, FormerlySerializedAs("ActuatorName")]
string m_ActuatorName = "Match3 Actuator";
/// <summary>
/// Name of the generated Match3Actuator object.
/// Note that changing this at runtime does not affect how the Agent sorts the actuators.
/// </summary>
public string ActuatorName
{
get => m_ActuatorName;
set => m_ActuatorName = value;
}
[HideInInspector, SerializeField, FormerlySerializedAs("RandomSeed")]
int m_RandomSeed = -1;
/// <summary>
/// A random seed used in the actuator's heuristic, if needed.
/// </summary>
public int RandomSeed
{
get => m_RandomSeed;
set => m_RandomSeed = value;
}
[HideInInspector, SerializeField, FormerlySerializedAs("ForceHeuristic")]
[Tooltip("Force using the Agent's Heuristic() method to decide the action. This should only be used in testing.")]
bool m_ForceHeuristic;
/// <summary>
/// Force using the Agent's Heuristic() method to decide the action. This should only be used in testing.
/// </summary>
public bool ForceHeuristic
{
get => m_ForceHeuristic;
set => m_ForceHeuristic = value;
}
/// <inheritdoc/>
public override IActuator[] CreateActuators()
{
var board = GetComponent<AbstractBoard>();
if (!board)
{
return Array.Empty<IActuator>();
}
var seed = m_RandomSeed == -1 ? gameObject.GetInstanceID() : m_RandomSeed + 1;
return new IActuator[] { new Match3Actuator(board, m_ForceHeuristic, seed, m_ActuatorName) };
}
/// <inheritdoc/>
public override ActionSpec ActionSpec
{
get
{
var board = GetComponent<AbstractBoard>();
if (board == null)
{
return ActionSpec.MakeContinuous(0);
}
var numMoves = Move.NumPotentialMoves(board.GetMaxBoardSize());
return ActionSpec.MakeDiscrete(numMoves);
}
}
}
}