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595 行
23 KiB
595 行
23 KiB
using UnityEngine;
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using NUnit.Framework;
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using System.Reflection;
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using MLAgents.Sensor;
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using MLAgents.InferenceBrain;
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namespace MLAgents.Tests
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{
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public class TestAcademy : Academy
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{
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public int initializeAcademyCalls;
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public int AcademyStepCalls;
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public override void InitializeAcademy()
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{
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initializeAcademyCalls += 1;
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}
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public override void AcademyReset()
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{
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}
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public override void AcademyStep()
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{
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AcademyStepCalls += 1;
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}
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}
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public class TestAgent : Agent
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{
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public int initializeAgentCalls;
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public int collectObservationsCalls;
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public int agentActionCalls;
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public int agentResetCalls;
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public int agentOnDoneCalls;
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public override void InitializeAgent()
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{
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initializeAgentCalls += 1;
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// Add in some custom sensors so we can confirm they get sorted as expected.
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var sensor1 = new TestSensor("testsensor1");
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var sensor2 = new TestSensor("testsensor2");
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m_Sensors.Add(sensor2);
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m_Sensors.Add(sensor1);
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}
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public override void CollectObservations()
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{
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collectObservationsCalls += 1;
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AddVectorObs(0f);
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}
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public override void AgentAction(float[] vectorAction, string textAction)
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{
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agentActionCalls += 1;
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AddReward(0.1f);
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}
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public override void AgentReset()
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{
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agentResetCalls += 1;
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}
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public override void AgentOnDone()
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{
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agentOnDoneCalls += 1;
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}
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public override float[] Heuristic()
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{
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return new float[0];
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}
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}
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public class TestSensor : ISensor
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{
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public string sensorName;
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public TestSensor(string n)
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{
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sensorName = n;
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}
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public int[] GetFloatObservationShape()
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{
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return new[] { 1 };
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}
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public void WriteToTensor(TensorProxy tensorProxy, int agentIndex) { }
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public byte[] GetCompressedObservation()
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{
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return null;
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}
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public CompressionType GetCompressionType()
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{
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return CompressionType.None;
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}
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public string GetName()
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{
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return sensorName;
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}
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}
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public class EditModeTestGeneration
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{
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[Test]
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public void TestAcademy()
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{
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// Use the Assert class to test conditions.
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var acaGo = new GameObject("TestAcademy");
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acaGo.AddComponent<TestAcademy>();
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var aca = acaGo.GetComponent<TestAcademy>();
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Assert.AreNotEqual(null, aca);
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Assert.AreEqual(0, aca.initializeAcademyCalls);
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Assert.AreEqual(0, aca.GetEpisodeCount());
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Assert.AreEqual(0, aca.GetStepCount());
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}
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[Test]
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public void TestAgent()
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{
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var agentGo = new GameObject("TestAgent");
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agentGo.AddComponent<TestAgent>();
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var agent = agentGo.GetComponent<TestAgent>();
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Assert.AreNotEqual(null, agent);
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Assert.AreEqual(0, agent.initializeAgentCalls);
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}
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}
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public class EditModeTestInitialization
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{
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[Test]
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public void TestAcademy()
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{
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var acaGo = new GameObject("TestAcademy");
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acaGo.AddComponent<TestAcademy>();
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var aca = acaGo.GetComponent<TestAcademy>();
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aca.resetParameters = new ResetParameters();
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Assert.AreEqual(0, aca.initializeAcademyCalls);
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Assert.AreEqual(0, aca.GetStepCount());
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Assert.AreEqual(0, aca.GetEpisodeCount());
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//This will call the method even though it is private
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var academyInitializeMethod = typeof(Academy).GetMethod("InitializeEnvironment",
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BindingFlags.Instance | BindingFlags.NonPublic);
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academyInitializeMethod?.Invoke(aca, new object[] { });
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Assert.AreEqual(1, aca.initializeAcademyCalls);
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Assert.AreEqual(0, aca.GetEpisodeCount());
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Assert.AreEqual(0, aca.GetStepCount());
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Assert.AreEqual(0, aca.AcademyStepCalls);
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}
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[Test]
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public void TestAgent()
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{
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var agentGo1 = new GameObject("TestAgent");
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agentGo1.AddComponent<TestAgent>();
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var agent1 = agentGo1.GetComponent<TestAgent>();
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var agentGo2 = new GameObject("TestAgent");
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agentGo2.AddComponent<TestAgent>();
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var agent2 = agentGo2.GetComponent<TestAgent>();
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var acaGo = new GameObject("TestAcademy");
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acaGo.AddComponent<TestAcademy>();
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var aca = acaGo.GetComponent<TestAcademy>();
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aca.resetParameters = new ResetParameters();
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Assert.AreEqual(false, agent1.IsDone());
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Assert.AreEqual(false, agent2.IsDone());
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Assert.AreEqual(0, agent1.agentResetCalls);
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Assert.AreEqual(0, agent2.agentResetCalls);
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Assert.AreEqual(0, agent1.initializeAgentCalls);
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Assert.AreEqual(0, agent2.initializeAgentCalls);
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Assert.AreEqual(0, agent1.agentActionCalls);
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Assert.AreEqual(0, agent2.agentActionCalls);
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var agentEnableMethod = typeof(Agent).GetMethod("OnEnableHelper",
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BindingFlags.Instance | BindingFlags.NonPublic);
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var academyInitializeMethod = typeof(Academy).GetMethod("InitializeEnvironment",
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BindingFlags.Instance | BindingFlags.NonPublic);
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agentEnableMethod?.Invoke(agent2, new object[] { aca });
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academyInitializeMethod?.Invoke(aca, new object[] { });
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agentEnableMethod?.Invoke(agent1, new object[] { aca });
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Assert.AreEqual(false, agent1.IsDone());
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Assert.AreEqual(false, agent2.IsDone());
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// agent1 was not enabled when the academy started
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// The agents have been initialized
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Assert.AreEqual(0, agent1.agentResetCalls);
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Assert.AreEqual(0, agent2.agentResetCalls);
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Assert.AreEqual(1, agent1.initializeAgentCalls);
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Assert.AreEqual(1, agent2.initializeAgentCalls);
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Assert.AreEqual(0, agent1.agentActionCalls);
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Assert.AreEqual(0, agent2.agentActionCalls);
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// Make sure the sensors were sorted
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Assert.AreEqual(agent1.m_Sensors[0].GetName(), "testsensor1");
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Assert.AreEqual(agent1.m_Sensors[1].GetName(), "testsensor2");
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}
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}
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public class EditModeTestStep
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{
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[Test]
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public void TestAcademy()
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{
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var acaGo = new GameObject("TestAcademy");
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acaGo.AddComponent<TestAcademy>();
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var aca = acaGo.GetComponent<TestAcademy>();
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aca.resetParameters = new ResetParameters();
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var academyInitializeMethod = typeof(Academy).GetMethod("InitializeEnvironment",
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BindingFlags.Instance | BindingFlags.NonPublic);
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academyInitializeMethod?.Invoke(aca, new object[] { });
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var academyStepMethod = typeof(Academy).GetMethod("EnvironmentStep",
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BindingFlags.Instance | BindingFlags.NonPublic);
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var numberReset = 0;
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for (var i = 0; i < 10; i++)
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{
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Assert.AreEqual(1, aca.initializeAcademyCalls);
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Assert.AreEqual(numberReset, aca.GetEpisodeCount());
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Assert.AreEqual(i, aca.GetStepCount());
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Assert.AreEqual(i, aca.AcademyStepCalls);
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// The reset happens at the beginning of the first step
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if (i == 0)
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{
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numberReset += 1;
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}
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academyStepMethod?.Invoke(aca, new object[] { });
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}
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}
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[Test]
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public void TestAgent()
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{
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var agentGo1 = new GameObject("TestAgent");
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agentGo1.AddComponent<TestAgent>();
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var agent1 = agentGo1.GetComponent<TestAgent>();
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var agentGo2 = new GameObject("TestAgent");
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agentGo2.AddComponent<TestAgent>();
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var agent2 = agentGo2.GetComponent<TestAgent>();
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var acaGo = new GameObject("TestAcademy");
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acaGo.AddComponent<TestAcademy>();
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var aca = acaGo.GetComponent<TestAcademy>();
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aca.resetParameters = new ResetParameters();
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var agentEnableMethod = typeof(Agent).GetMethod(
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"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
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var academyInitializeMethod = typeof(Academy).GetMethod(
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"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
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agent1.agentParameters = new AgentParameters();
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agent2.agentParameters = new AgentParameters();
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// We use event based so the agent will now try to send anything to the brain
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agent1.agentParameters.onDemandDecision = false;
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agent1.agentParameters.numberOfActionsBetweenDecisions = 2;
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// agent1 will take an action at every step and request a decision every 2 steps
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agent2.agentParameters.onDemandDecision = true;
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// agent2 will request decisions only when RequestDecision is called
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agentEnableMethod?.Invoke(agent1, new object[] { aca });
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academyInitializeMethod?.Invoke(aca, new object[] { });
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var academyStepMethod = typeof(Academy).GetMethod(
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"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
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var numberAgent1Reset = 0;
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var numberAgent2Initialization = 0;
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var requestDecision = 0;
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var requestAction = 0;
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for (var i = 0; i < 50; i++)
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{
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Assert.AreEqual(numberAgent1Reset, agent1.agentResetCalls);
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// Agent2 is never reset since initialized after academy
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Assert.AreEqual(0, agent2.agentResetCalls);
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Assert.AreEqual(1, agent1.initializeAgentCalls);
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Assert.AreEqual(numberAgent2Initialization, agent2.initializeAgentCalls);
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Assert.AreEqual(i, agent1.agentActionCalls);
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Assert.AreEqual(requestAction, agent2.agentActionCalls);
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Assert.AreEqual((i + 1) / 2, agent1.collectObservationsCalls);
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Assert.AreEqual(requestDecision, agent2.collectObservationsCalls);
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// Agent 1 resets at the first step
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if (i == 0)
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{
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numberAgent1Reset += 1;
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}
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//Agent 2 is only initialized at step 2
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if (i == 2)
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{
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agentEnableMethod?.Invoke(agent2, new object[] { aca });
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numberAgent2Initialization += 1;
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}
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// We are testing request decision and request actions when called
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// at different intervals
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if ((i % 3 == 0) && (i > 2))
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{
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//Every 3 steps after agent 2 is initialized, request decision
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requestDecision += 1;
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requestAction += 1;
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agent2.RequestDecision();
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}
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else if ((i % 5 == 0) && (i > 2))
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{
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// Every 5 steps after agent 2 is initialized, request action
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requestAction += 1;
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agent2.RequestAction();
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}
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academyStepMethod?.Invoke(aca, new object[] { });
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}
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}
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}
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public class EditModeTestReset
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{
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[Test]
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public void TestAcademy()
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{
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var acaGo = new GameObject("TestAcademy");
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acaGo.AddComponent<TestAcademy>();
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var aca = acaGo.GetComponent<TestAcademy>();
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aca.resetParameters = new ResetParameters();
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var academyInitializeMethod = typeof(Academy).GetMethod(
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"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
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academyInitializeMethod?.Invoke(aca, new object[] { });
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var academyStepMethod = typeof(Academy).GetMethod(
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"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
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var numberReset = 0;
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var stepsSinceReset = 0;
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for (var i = 0; i < 50; i++)
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{
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Assert.AreEqual(stepsSinceReset, aca.GetStepCount());
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Assert.AreEqual(1, aca.initializeAcademyCalls);
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Assert.AreEqual(numberReset, aca.GetEpisodeCount());
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Assert.AreEqual(i, aca.AcademyStepCalls);
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// Academy resets at the first step
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if (i == 0)
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{
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numberReset += 1;
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}
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stepsSinceReset += 1;
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academyStepMethod.Invoke(aca, new object[] { });
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}
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}
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[Test]
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public void TestAgent()
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{
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var agentGo1 = new GameObject("TestAgent");
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agentGo1.AddComponent<TestAgent>();
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var agent1 = agentGo1.GetComponent<TestAgent>();
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var agentGo2 = new GameObject("TestAgent");
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agentGo2.AddComponent<TestAgent>();
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var agent2 = agentGo2.GetComponent<TestAgent>();
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var acaGo = new GameObject("TestAcademy");
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acaGo.AddComponent<TestAcademy>();
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var aca = acaGo.GetComponent<TestAcademy>();
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aca.resetParameters = new ResetParameters();
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var agentEnableMethod = typeof(Agent).GetMethod(
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"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
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var academyInitializeMethod = typeof(Academy).GetMethod(
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"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
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var academyStepMethod = typeof(Academy).GetMethod(
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"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
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agent1.agentParameters = new AgentParameters();
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agent2.agentParameters = new AgentParameters();
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// We use event based so the agent will now try to send anything to the brain
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agent1.agentParameters.onDemandDecision = false;
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agent1.agentParameters.numberOfActionsBetweenDecisions = 2;
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// agent1 will take an action at every step and request a decision every 2 steps
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agent2.agentParameters.onDemandDecision = true;
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agentEnableMethod?.Invoke(agent2, new object[] { aca });
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academyInitializeMethod?.Invoke(aca, new object[] { });
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var numberAgent1Reset = 0;
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var numberAgent2Reset = 0;
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var numberAcaReset = 0;
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var acaStepsSinceReset = 0;
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var agent2StepSinceReset = 0;
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for (var i = 0; i < 5000; i++)
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{
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Assert.AreEqual(acaStepsSinceReset, aca.GetStepCount());
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Assert.AreEqual(1, aca.initializeAcademyCalls);
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Assert.AreEqual(numberAcaReset, aca.GetEpisodeCount());
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Assert.AreEqual(i, aca.AcademyStepCalls);
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Assert.AreEqual(agent2StepSinceReset, agent2.GetStepCount());
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Assert.AreEqual(numberAgent1Reset, agent1.agentResetCalls);
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Assert.AreEqual(numberAgent2Reset, agent2.agentResetCalls);
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// Agent 2 and academy reset at the first step
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if (i == 0)
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{
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numberAcaReset += 1;
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numberAgent2Reset += 1;
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}
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//Agent 1 is only initialized at step 2
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if (i == 2)
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{
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agentEnableMethod?.Invoke(agent1, new object[] { aca });
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}
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// Set agent 1 to done every 11 steps to test behavior
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if (i % 11 == 5)
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{
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agent1.Done();
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}
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// Resetting agent 2 regularly
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if (i % 13 == 3)
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{
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if (!(agent2.IsDone()))
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{
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// If the agent was already reset before the request decision
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// We should not reset again
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agent2.Done();
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numberAgent2Reset += 1;
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agent2StepSinceReset = 0;
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}
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}
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// Request a decision for agent 2 regularly
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if (i % 3 == 2)
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{
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agent2.RequestDecision();
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}
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else if (i % 5 == 1)
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{
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// Request an action without decision regularly
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agent2.RequestAction();
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}
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if (agent1.IsDone() && (((acaStepsSinceReset) % agent1.agentParameters.numberOfActionsBetweenDecisions == 0)))
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{
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numberAgent1Reset += 1;
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}
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acaStepsSinceReset += 1;
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agent2StepSinceReset += 1;
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//Agent 1 is only initialized at step 2
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if (i < 2)
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{ }
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academyStepMethod?.Invoke(aca, new object[] { });
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}
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}
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}
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public class EditModeTestMiscellaneous
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{
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[Test]
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public void TestResetOnDone()
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{
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var agentGo1 = new GameObject("TestAgent");
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agentGo1.AddComponent<TestAgent>();
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var agent1 = agentGo1.GetComponent<TestAgent>();
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var agentGo2 = new GameObject("TestAgent");
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agentGo2.AddComponent<TestAgent>();
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var agent2 = agentGo2.GetComponent<TestAgent>();
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var acaGo = new GameObject("TestAcademy");
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acaGo.AddComponent<TestAcademy>();
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var aca = acaGo.GetComponent<TestAcademy>();
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aca.resetParameters = new ResetParameters();
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var agentEnableMethod = typeof(Agent).GetMethod(
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"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
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var academyInitializeMethod = typeof(Academy).GetMethod(
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"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
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var academyStepMethod = typeof(Academy).GetMethod(
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"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
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agent1.agentParameters = new AgentParameters();
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agent2.agentParameters = new AgentParameters();
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// We use event based so the agent will now try to send anything to the brain
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agent1.agentParameters.onDemandDecision = false;
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// agent1 will take an action at every step and request a decision every steps
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agent1.agentParameters.numberOfActionsBetweenDecisions = 1;
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// agent2 will request decisions only when RequestDecision is called
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agent2.agentParameters.onDemandDecision = true;
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agent1.agentParameters.maxStep = 20;
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//Here we specify that the agent does not reset when done
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agent1.agentParameters.resetOnDone = false;
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agent2.agentParameters.resetOnDone = false;
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agentEnableMethod?.Invoke(agent2, new object[] { aca });
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academyInitializeMethod?.Invoke(aca, new object[] { });
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agentEnableMethod?.Invoke(agent1, new object[] { aca });
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var agent1ResetOnDone = 0;
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var agent2ResetOnDone = 0;
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var agent1StepSinceReset = 0;
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var agent2StepSinceReset = 0;
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for (var i = 0; i < 50; i++)
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{
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Assert.AreEqual(i, aca.AcademyStepCalls);
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Assert.AreEqual(agent1StepSinceReset, agent1.GetStepCount());
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Assert.AreEqual(agent2StepSinceReset, agent2.GetStepCount());
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Assert.AreEqual(agent1ResetOnDone, agent1.agentOnDoneCalls);
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Assert.AreEqual(agent2ResetOnDone, agent2.agentOnDoneCalls);
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// we request a decision at each step
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agent2.RequestDecision();
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if (agent1ResetOnDone == 0)
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agent1StepSinceReset += 1;
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if (agent2ResetOnDone == 0)
|
|
agent2StepSinceReset += 1;
|
|
|
|
if ((i > 2) && (i % 21 == 0))
|
|
{
|
|
agent1ResetOnDone = 1;
|
|
}
|
|
|
|
if (i == 31)
|
|
{
|
|
agent2ResetOnDone = 1;
|
|
agent2.Done();
|
|
}
|
|
|
|
|
|
academyStepMethod?.Invoke(aca, new object[] { });
|
|
}
|
|
}
|
|
|
|
[Test]
|
|
public void TestCumulativeReward()
|
|
{
|
|
var agentGo1 = new GameObject("TestAgent");
|
|
agentGo1.AddComponent<TestAgent>();
|
|
var agent1 = agentGo1.GetComponent<TestAgent>();
|
|
var agentGo2 = new GameObject("TestAgent");
|
|
agentGo2.AddComponent<TestAgent>();
|
|
var agent2 = agentGo2.GetComponent<TestAgent>();
|
|
var acaGo = new GameObject("TestAcademy");
|
|
acaGo.AddComponent<TestAcademy>();
|
|
var aca = acaGo.GetComponent<TestAcademy>();
|
|
aca.resetParameters = new ResetParameters();
|
|
|
|
|
|
var agentEnableMethod = typeof(Agent).GetMethod(
|
|
"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
|
|
var academyInitializeMethod = typeof(Academy).GetMethod(
|
|
"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
|
|
|
|
var academyStepMethod = typeof(Academy).GetMethod(
|
|
"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
|
|
|
|
agent1.agentParameters = new AgentParameters();
|
|
agent2.agentParameters = new AgentParameters();
|
|
// We use event based so the agent will now try to send anything to the brain
|
|
agent1.agentParameters.onDemandDecision = false;
|
|
agent1.agentParameters.numberOfActionsBetweenDecisions = 3;
|
|
// agent1 will take an action at every step and request a decision every 2 steps
|
|
agent2.agentParameters.onDemandDecision = true;
|
|
// agent2 will request decisions only when RequestDecision is called
|
|
agent1.agentParameters.maxStep = 20;
|
|
|
|
agentEnableMethod?.Invoke(agent2, new object[] { aca });
|
|
academyInitializeMethod?.Invoke(aca, new object[] { });
|
|
agentEnableMethod?.Invoke(agent1, new object[] { aca });
|
|
|
|
|
|
var j = 0;
|
|
for (var i = 0; i < 500; i++)
|
|
{
|
|
agent2.RequestAction();
|
|
Assert.LessOrEqual(Mathf.Abs(j * 0.1f + j * 10f - agent1.GetCumulativeReward()), 0.05f);
|
|
Assert.LessOrEqual(Mathf.Abs(i * 0.1f - agent2.GetCumulativeReward()), 0.05f);
|
|
|
|
|
|
academyStepMethod?.Invoke(aca, new object[] { });
|
|
agent1.AddReward(10f);
|
|
|
|
if ((i % 21 == 0) && (i > 0))
|
|
{
|
|
j = 0;
|
|
}
|
|
j++;
|
|
}
|
|
}
|
|
}
|
|
}
|