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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70 行
2.2 KiB

namespace Unity.MLAgents.Actuators
{
/// <summary>
/// IActuator implementation that forwards to an <see cref="IActionReceiver"/>.
/// </summary>
internal class VectorActuator : IActuator
{
IActionReceiver m_ActionReceiver;
ActionBuffers m_ActionBuffers;
internal ActionBuffers ActionBuffers
{
get => m_ActionBuffers;
private set => m_ActionBuffers = value;
}
/// <summary>
/// Create a VectorActuator that forwards to the provided IActionReceiver.
/// </summary>
/// <param name="actionReceiver">The <see cref="IActionReceiver"/> used for OnActionReceived and WriteDiscreteActionMask.</param>
/// <param name="actionSpec"></param>
/// <param name="name"></param>
public VectorActuator(IActionReceiver actionReceiver,
ActionSpec actionSpec,
string name = "VectorActuator")
{
m_ActionReceiver = actionReceiver;
ActionSpec = actionSpec;
string suffix;
if (actionSpec.NumContinuousActions == 0)
{
suffix = "-Discrete";
}
else if (actionSpec.NumDiscreteActions == 0)
{
suffix = "-Continuous";
}
else
{
suffix = $"-Continuous-{actionSpec.NumContinuousActions}-Discrete-{actionSpec.NumDiscreteActions}";
}
Name = name + suffix;
}
/// <inheritdoc />
public void ResetData()
{
m_ActionBuffers = ActionBuffers.Empty;
}
/// <inheritdoc />
public void OnActionReceived(ActionBuffers actionBuffers)
{
ActionBuffers = actionBuffers;
m_ActionReceiver.OnActionReceived(ActionBuffers);
}
/// <inheritdoc />
public void WriteDiscreteActionMask(IDiscreteActionMask actionMask)
{
m_ActionReceiver.WriteDiscreteActionMask(actionMask);
}
/// <inheritdoc/>
public ActionSpec ActionSpec { get; }
/// <inheritdoc />
public string Name { get; }
}
}