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.Actuators;
using UnityEngine;
using UnityEngine.Serialization;
namespace Unity.MLAgents.Extensions.Match3
{
/// <summary>
/// Actuator component for a Match3 game. Generates a Match3Actuator at runtime.
/// </summary>
public class Match3ActuatorComponent : ActuatorComponent
{
/// <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 = "Match3 Actuator";
/// <summary>
/// A random seed used to generate a board, if needed.
/// </summary>
public int RandomSeed = -1;
/// <summary>
/// Force using the Agent's Heuristic() method to decide the action. This should only be used in testing.
/// </summary>
[FormerlySerializedAs("ForceRandom")]
[Tooltip("Force using the Agent's Heuristic() method to decide the action. This should only be used in testing.")]
public bool ForceHeuristic;
/// <inheritdoc/>
public override IActuator CreateActuator()
{
var board = GetComponent<AbstractBoard>();
var agent = GetComponentInParent<Agent>();
var seed = RandomSeed == -1 ? gameObject.GetInstanceID() : RandomSeed + 1;
return new Match3Actuator(board, ForceHeuristic, seed, agent, ActuatorName);
}
/// <inheritdoc/>
public override ActionSpec ActionSpec
{
get
{
var board = GetComponent<AbstractBoard>();
if (board == null)
{
return ActionSpec.MakeContinuous(0);
}
var numMoves = Move.NumPotentialMoves(board.Rows, board.Columns);
return ActionSpec.MakeDiscrete(numMoves);
}
}
}
}