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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116 行
3.0 KiB

//Put this script on your blue cube.
using System.Collections;
using UnityEngine;
using Unity.MLAgents;
using Unity.MLAgents.Actuators;
using Unity.MLAgents.Sensors;
public class PushAgentCollab : Agent
{
PushBlockSettings m_PushBlockSettings;
// Rigidbody m_BlockRb; //cached on initialization
Rigidbody m_AgentRb; //cached on initialization
public bool useVectorObs = true;
void Awake()
{
m_PushBlockSettings = FindObjectOfType<PushBlockSettings>();
}
public override void Initialize()
{
// Cache the agent rigidbody
m_AgentRb = GetComponent<Rigidbody>();
}
/// <summary>
/// Moves the agent according to the selected action.
/// </summary>
public void MoveAgent(ActionSegment<int> act)
{
var dirToGo = Vector3.zero;
var rotateDir = Vector3.zero;
var action = act[0];
switch (action)
{
case 1:
dirToGo = transform.forward * 1f;
break;
case 2:
dirToGo = transform.forward * -1f;
break;
case 3:
rotateDir = transform.up * 1f;
break;
case 4:
rotateDir = transform.up * -1f;
break;
case 5:
dirToGo = transform.right * -0.75f;
break;
case 6:
dirToGo = transform.right * 0.75f;
break;
}
transform.Rotate(rotateDir, Time.fixedDeltaTime * 200f);
m_AgentRb.AddForce(dirToGo * m_PushBlockSettings.agentRunSpeed,
ForceMode.VelocityChange);
}
public override void CollectObservations(VectorSensor sensor)
{
if (useVectorObs)
{
sensor.AddObservation(StepCount / (float)MaxStep);
}
}
/// <summary>
/// Called every step of the engine. Here the agent takes an action.
/// </summary>
public override void OnActionReceived(ActionBuffers actionBuffers)
{
// Move the agent using the action.
MoveAgent(actionBuffers.DiscreteActions);
// Penalty given each step to encourage agent to finish task quickly.
//AddReward(-1f / MaxStep);
}
public override void Heuristic(in ActionBuffers actionsOut)
{
var discreteActionsOut = actionsOut.DiscreteActions;
discreteActionsOut[0] = 0;
if (Input.GetKey(KeyCode.D))
{
discreteActionsOut[0] = 3;
}
else if (Input.GetKey(KeyCode.W))
{
discreteActionsOut[0] = 1;
}
else if (Input.GetKey(KeyCode.A))
{
discreteActionsOut[0] = 4;
}
else if (Input.GetKey(KeyCode.S))
{
discreteActionsOut[0] = 2;
}
}
/// <summary>
/// In the editor, if "Reset On Done" is checked then AgentReset() will be
/// called automatically anytime we mark done = true in an agent script.
/// </summary>
public override void OnEpisodeBegin()
{
}
}