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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61 行
1.9 KiB

using UnityEngine;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Extensions.Sensors
{
public class RigidBodyJointExtractor : IJointExtractor
{
Rigidbody m_Body;
Joint m_Joint;
public RigidBodyJointExtractor(Rigidbody body)
{
m_Body = body;
m_Joint = m_Body?.GetComponent<Joint>();
}
public int NumObservations(PhysicsSensorSettings settings)
{
return NumObservations(m_Body, m_Joint, settings);
}
public static int NumObservations(Rigidbody body, Joint joint, PhysicsSensorSettings settings)
{
if (body == null || joint == null)
{
return 0;
}
var numObservations = 0;
if (settings.UseJointForces)
{
// 3 force and 3 torque values
numObservations += 6;
}
return numObservations;
}
public int Write(PhysicsSensorSettings settings, ObservationWriter writer, int offset)
{
if (m_Body == null || m_Joint == null)
{
return 0;
}
var currentOffset = offset;
if (settings.UseJointForces)
{
// Take tanh of the forces and torques to ensure they're in [-1, 1]
writer[currentOffset++] = (float)System.Math.Tanh(m_Joint.currentForce.x);
writer[currentOffset++] = (float)System.Math.Tanh(m_Joint.currentForce.y);
writer[currentOffset++] = (float)System.Math.Tanh(m_Joint.currentForce.z);
writer[currentOffset++] = (float)System.Math.Tanh(m_Joint.currentTorque.x);
writer[currentOffset++] = (float)System.Math.Tanh(m_Joint.currentTorque.y);
writer[currentOffset++] = (float)System.Math.Tanh(m_Joint.currentTorque.z);
}
return currentOffset - offset;
}
}
}