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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60 行
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using UnityEngine;
using Barracuda;
using System.Collections.Generic;
using MLAgents.InferenceBrain;
using System;
using MLAgents.Sensor;
namespace MLAgents
{
public enum InferenceDevice
{
CPU = 0,
GPU = 1
}
/// <summary>
/// The Barracuda Policy uses a Barracuda Model to make decisions at
/// every step. It uses a ModelRunner that is shared accross all
/// Barracuda Policies that use the same model and inference devices.
/// </summary>
internal class BarracudaPolicy : IPolicy
{
protected ModelRunner m_ModelRunner;
private int m_AgentId;
/// <summary>
/// Sensor shapes for the associated Agents. All Agents must have the same shapes for their Sensors.
/// </summary>
List<int[]> m_SensorShapes;
/// <inheritdoc />
public BarracudaPolicy(
BrainParameters brainParameters,
NNModel model,
InferenceDevice inferenceDevice)
{
var modelRunner = Academy.Instance.GetOrCreateModelRunner(model, brainParameters, inferenceDevice);
m_ModelRunner = modelRunner;
}
/// <inheritdoc />
public void RequestDecision(AgentInfo info, List<ISensor> sensors)
{
m_AgentId = info.episodeId;
m_ModelRunner?.PutObservations(info, sensors);
}
/// <inheritdoc />
public float[] DecideAction()
{
m_ModelRunner?.DecideBatch();
return m_ModelRunner?.GetAction(m_AgentId);
}
public void Dispose()
{
}
}
}