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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125 行
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using Barracuda;
using System;
using UnityEngine;
using UnityEngine.Serialization;
namespace MLAgents
{
/// <summary>
/// The Factory to generate policies.
/// </summary>
[AddComponentMenu("ML Agents/Behavior Parameters", (int)MenuGroup.Default)]
public class BehaviorParameters : MonoBehaviour
{
[Serializable]
enum BehaviorType
{
Default,
HeuristicOnly,
InferenceOnly
}
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[SerializeField]
BrainParameters m_BrainParameters = new BrainParameters();
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[SerializeField]
NNModel m_Model;
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[SerializeField]
InferenceDevice m_InferenceDevice;
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[SerializeField]
BehaviorType m_BehaviorType;
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[SerializeField]
string m_BehaviorName = "My Behavior";
/// <summary>
/// The team ID for this behavior.
/// </summary>
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[SerializeField]
public int m_TeamID;
[FormerlySerializedAs("m_useChildSensors")]
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[SerializeField]
[Tooltip("Use all Sensor components attached to child GameObjects of this Agent.")]
bool m_UseChildSensors = true;
/// <summary>
/// The associated <see cref="BrainParameters"/> for this behavior.
/// </summary>
public BrainParameters brainParameters
{
get { return m_BrainParameters; }
}
/// <summary>
/// Whether or not to use all the sensor components attached to child GameObjects of the agent.
/// </summary>
public bool useChildSensors
{
get { return m_UseChildSensors; }
}
/// <summary>
/// The name of this behavior, which is used as a base name. See
/// <see cref="fullyQualifiedBehaviorName"/> for the full name.
/// </summary>
public string behaviorName
{
get { return m_BehaviorName; }
}
/// <summary>
/// Returns the behavior name, concatenated with any other metadata (i.e. team id).
/// </summary>
public string fullyQualifiedBehaviorName
{
get { return m_BehaviorName + "?team=" + m_TeamID; }
}
internal IPolicy GeneratePolicy(Func<float[]> heuristic)
{
switch (m_BehaviorType)
{
case BehaviorType.HeuristicOnly:
return new HeuristicPolicy(heuristic);
case BehaviorType.InferenceOnly:
return new BarracudaPolicy(m_BrainParameters, m_Model, m_InferenceDevice);
case BehaviorType.Default:
if (Academy.Instance.IsCommunicatorOn)
{
return new RemotePolicy(m_BrainParameters, fullyQualifiedBehaviorName);
}
if (m_Model != null)
{
return new BarracudaPolicy(m_BrainParameters, m_Model, m_InferenceDevice);
}
else
{
return new HeuristicPolicy(heuristic);
}
default:
return new HeuristicPolicy(heuristic);
}
}
/// <summary>
/// Updates the model and related details for this behavior.
/// </summary>
/// <param name="newBehaviorName">New name for the behavior.</param>
/// <param name="model">New neural network model for this behavior.</param>
/// <param name="inferenceDevice">New inference device for this behavior.</param>
public void GiveModel(
string newBehaviorName,
NNModel model,
InferenceDevice inferenceDevice = InferenceDevice.CPU)
{
m_Model = model;
m_InferenceDevice = inferenceDevice;
m_BehaviorName = newBehaviorName;
}
}
}