public void TestAgent()
{
GameObject agentGO = new GameObject("TestAgent");
agentGO.AddComponent <TestAgent>();
TestAgent agent = agentGO.GetComponent <TestAgent>();
Assert.AreNotEqual(null, agent);
Assert.AreEqual(0, agent.initializeAgentCalls);
}
public void TestAgent()
{
GameObject agentGO1 = new GameObject("TestAgent");
agentGO1.AddComponent <TestAgent>();
TestAgent agent1 = agentGO1.GetComponent <TestAgent>();
GameObject agentGO2 = new GameObject("TestAgent");
agentGO2.AddComponent <TestAgent>();
TestAgent agent2 = agentGO2.GetComponent <TestAgent>();
GameObject acaGO = new GameObject("TestAcademy");
acaGO.AddComponent <TestAcademy>();
TestAcademy aca = acaGO.GetComponent <TestAcademy>();
GameObject brainGO = new GameObject("TestBrain");
brainGO.transform.parent = acaGO.transform;
brainGO.AddComponent <TestBrain>();
TestBrain brain = brainGO.GetComponent <TestBrain>();
brain.brainParameters = new BrainParameters();
brain.brainParameters.vectorObservationSize = 0;
agent1.GiveBrain(brain);
agent2.GiveBrain(brain);
Assert.AreEqual(false, agent1.IsDone());
Assert.AreEqual(false, agent2.IsDone());
Assert.AreEqual(0, agent1.agentResetCalls);
Assert.AreEqual(0, agent2.agentResetCalls);
Assert.AreEqual(0, agent1.initializeAgentCalls);
Assert.AreEqual(0, agent2.initializeAgentCalls);
Assert.AreEqual(0, agent1.agentActionCalls);
Assert.AreEqual(0, agent2.agentActionCalls);
MethodInfo AgentEnableMethod = typeof(Agent).GetMethod("OnEnableHelper",
BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyInitializeMethod = typeof(Academy).GetMethod("InitializeEnvironment",
BindingFlags.Instance | BindingFlags.NonPublic);
AgentEnableMethod.Invoke(agent2, new object[] { aca });
AcademyInitializeMethod.Invoke(aca, new object[] { });
AgentEnableMethod.Invoke(agent1, new object[] { aca });
Assert.AreEqual(false, agent1.IsDone());
Assert.AreEqual(false, agent2.IsDone());
// agent1 was not enabled when the academy started
// The agents have been initialized
Assert.AreEqual(0, agent1.agentResetCalls);
Assert.AreEqual(0, agent2.agentResetCalls);
Assert.AreEqual(1, agent1.initializeAgentCalls);
Assert.AreEqual(1, agent2.initializeAgentCalls);
Assert.AreEqual(0, agent1.agentActionCalls);
Assert.AreEqual(0, agent2.agentActionCalls);
}
public void TestCumulativeReward()
{
GameObject agentGO1 = new GameObject("TestAgent");
agentGO1.AddComponent <TestAgent>();
TestAgent agent1 = agentGO1.GetComponent <TestAgent>();
GameObject agentGO2 = new GameObject("TestAgent");
agentGO2.AddComponent <TestAgent>();
TestAgent agent2 = agentGO2.GetComponent <TestAgent>();
GameObject acaGO = new GameObject("TestAcademy");
acaGO.AddComponent <TestAcademy>();
TestAcademy aca = acaGO.GetComponent <TestAcademy>();
GameObject brainGO = new GameObject("TestBrain");
brainGO.transform.parent = acaGO.transform;
brainGO.AddComponent <TestBrain>();
TestBrain brain = brainGO.GetComponent <TestBrain>();
MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyInitializeMethod = typeof(Academy).GetMethod(
"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyStepMethod = typeof(Academy).GetMethod(
"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
agent1.agentParameters = new AgentParameters();
agent2.agentParameters = new AgentParameters();
brain.brainParameters = new BrainParameters();
// 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;
brain.brainParameters.vectorObservationSize = 0;
brain.brainParameters.cameraResolutions = new resolution[0];
agent1.GiveBrain(brain);
agent2.GiveBrain(brain);
AgentEnableMethod.Invoke(agent2, new object[] { aca });
AcademyInitializeMethod.Invoke(aca, new object[] { });
AgentEnableMethod.Invoke(agent1, new object[] { aca });
int j = 0;
for (int 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((object)aca, new object[] { });
agent1.AddReward(10f);
if ((i % 21 == 0) && (i > 0))
{
j = 0;
}
j++;
}
}
public void TestResetOnDone()
{
GameObject agentGO1 = new GameObject("TestAgent");
agentGO1.AddComponent <TestAgent>();
TestAgent agent1 = agentGO1.GetComponent <TestAgent>();
GameObject agentGO2 = new GameObject("TestAgent");
agentGO2.AddComponent <TestAgent>();
TestAgent agent2 = agentGO2.GetComponent <TestAgent>();
GameObject acaGO = new GameObject("TestAcademy");
acaGO.AddComponent <TestAcademy>();
TestAcademy aca = acaGO.GetComponent <TestAcademy>();
GameObject brainGO = new GameObject("TestBrain");
brainGO.transform.parent = acaGO.transform;
brainGO.AddComponent <TestBrain>();
TestBrain brain = brainGO.GetComponent <TestBrain>();
MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyInitializeMethod = typeof(Academy).GetMethod(
"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyStepMethod = typeof(Academy).GetMethod(
"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
agent1.agentParameters = new AgentParameters();
agent2.agentParameters = new AgentParameters();
brain.brainParameters = new BrainParameters();
// We use event based so the agent will now try to send anything to the brain
agent1.agentParameters.onDemandDecision = false;
// agent1 will take an action at every step and request a decision every steps
agent1.agentParameters.numberOfActionsBetweenDecisions = 1;
// agent2 will request decisions only when RequestDecision is called
agent2.agentParameters.onDemandDecision = true;
agent1.agentParameters.maxStep = 20;
//Here we specify that the agent does not reset when done
agent1.agentParameters.resetOnDone = false;
agent2.agentParameters.resetOnDone = false;
brain.brainParameters.vectorObservationSize = 0;
brain.brainParameters.cameraResolutions = new resolution[0];
agent1.GiveBrain(brain);
agent2.GiveBrain(brain);
AgentEnableMethod.Invoke(agent2, new object[] { aca });
AcademyInitializeMethod.Invoke(aca, new object[] { });
AgentEnableMethod.Invoke(agent1, new object[] { aca });
int agent1ResetOnDone = 0;
int agent2ResetOnDone = 0;
int acaStepsSinceReset = 0;
int agent1StepSinceReset = 0;
int agent2StepSinceReset = 0;
for (int i = 0; i < 50; i++)
{
Assert.AreEqual(i, aca.AcademyStepCalls);
Assert.AreEqual(agent1StepSinceReset, agent1.GetStepCount());
Assert.AreEqual(agent2StepSinceReset, agent2.GetStepCount());
Assert.AreEqual(agent1ResetOnDone, agent1.agentOnDoneCalls);
Assert.AreEqual(agent2ResetOnDone, agent2.agentOnDoneCalls);
// we request a decision at each step
agent2.RequestDecision();
acaStepsSinceReset += 1;
if (agent1ResetOnDone == 0)
{
agent1StepSinceReset += 1;
}
if (agent2ResetOnDone == 0)
{
agent2StepSinceReset += 1;
}
if ((i > 2) && (i % 21 == 0))
{
agent1ResetOnDone = 1;
}
if (i == 31)
{
agent2ResetOnDone = 1;
agent2.Done();
}
AcademyStepMethod.Invoke((object)aca, new object[] { });
}
}
public void TestAgent()
{
GameObject agentGO1 = new GameObject("TestAgent");
agentGO1.AddComponent <TestAgent>();
TestAgent agent1 = agentGO1.GetComponent <TestAgent>();
GameObject agentGO2 = new GameObject("TestAgent");
agentGO2.AddComponent <TestAgent>();
TestAgent agent2 = agentGO2.GetComponent <TestAgent>();
GameObject acaGO = new GameObject("TestAcademy");
acaGO.AddComponent <TestAcademy>();
TestAcademy aca = acaGO.GetComponent <TestAcademy>();
GameObject brainGO = new GameObject("TestBrain");
brainGO.transform.parent = acaGO.transform;
brainGO.AddComponent <TestBrain>();
TestBrain brain = brainGO.GetComponent <TestBrain>();
MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyInitializeMethod = typeof(Academy).GetMethod(
"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyStepMethod = typeof(Academy).GetMethod(
"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
FieldInfo maxStep = typeof(Academy).GetField(
"maxSteps", BindingFlags.Instance | BindingFlags.NonPublic);
maxStep.SetValue((object)aca, 100);
agent1.agentParameters = new AgentParameters();
agent2.agentParameters = new AgentParameters();
brain.brainParameters = new BrainParameters();
// We use event based so the agent will now try to send anything to the brain
agent1.agentParameters.onDemandDecision = false;
agent1.agentParameters.numberOfActionsBetweenDecisions = 1;
// 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;
agent2.agentParameters.maxStep = 30;
brain.brainParameters.vectorObservationSize = 0;
brain.brainParameters.cameraResolutions = new resolution[0];
agent1.GiveBrain(brain);
agent2.GiveBrain(brain);
AgentEnableMethod.Invoke(agent2, new object[] { aca });
AcademyInitializeMethod.Invoke(aca, new object[] { });
int numberAgent1Reset = 0;
int numberAgent2Reset = 0;
int numberAcaReset = 0;
int acaStepsSinceReset = 0;
int agent1StepSinceReset = 0;
int agent2StepSinceReset = 0;
for (int i = 0; i < 500; i++)
{
Assert.AreEqual(acaStepsSinceReset, aca.GetStepCount());
Assert.AreEqual(1, aca.initializeAcademyCalls);
Assert.AreEqual(i, aca.AcademyStepCalls);
Assert.AreEqual(agent1StepSinceReset, agent1.GetStepCount());
Assert.AreEqual(agent2StepSinceReset, agent2.GetStepCount());
Assert.AreEqual(numberAcaReset, aca.GetEpisodeCount());
Assert.AreEqual(numberAcaReset, aca.academyResetCalls);
Assert.AreEqual(numberAgent1Reset, agent1.agentResetCalls);
Assert.AreEqual(numberAgent2Reset, agent2.agentResetCalls);
//At the first step, Academy and agent 2 reset
if (i == 0)
{
numberAcaReset += 1;
numberAgent2Reset += 1;
}
//Agent 1 is only initialized at step 2
if (i == 2)
{
AgentEnableMethod.Invoke(agent1, new object[] { aca });
}
// we request a decision at each step
agent2.RequestDecision();
if (i > 3)
{
// Make sure the academy max steps at 100
if (i % 100 == 0)
{
acaStepsSinceReset = 0;
agent1StepSinceReset = 0;
agent2StepSinceReset = 0;
numberAcaReset += 1;
numberAgent1Reset += 1;
numberAgent2Reset += 1;
}
else
{
//Make sure the agents reset when their max steps is reached
if (agent1StepSinceReset % 21 == 0)
{
agent1StepSinceReset = 0;
numberAgent1Reset += 1;
}
if (agent2StepSinceReset % 31 == 0)
{
agent2StepSinceReset = 0;
numberAgent2Reset += 1;
}
}
}
acaStepsSinceReset += 1;
agent1StepSinceReset += 1;
agent2StepSinceReset += 1;
//Agent 1 is only initialized at step 2
if (i < 2)
{
agent1StepSinceReset = 0;
}
AcademyStepMethod.Invoke((object)aca, new object[] { });
}
}
public void TestAgent()
{
GameObject agentGO1 = new GameObject("TestAgent");
agentGO1.AddComponent <TestAgent>();
TestAgent agent1 = agentGO1.GetComponent <TestAgent>();
GameObject agentGO2 = new GameObject("TestAgent");
agentGO2.AddComponent <TestAgent>();
TestAgent agent2 = agentGO2.GetComponent <TestAgent>();
GameObject acaGO = new GameObject("TestAcademy");
acaGO.AddComponent <TestAcademy>();
TestAcademy aca = acaGO.GetComponent <TestAcademy>();
GameObject brainGO = new GameObject("TestBrain");
brainGO.transform.parent = acaGO.transform;
brainGO.AddComponent <TestBrain>();
TestBrain brain = brainGO.GetComponent <TestBrain>();
MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyInitializeMethod = typeof(Academy).GetMethod(
"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyStepMethod = typeof(Academy).GetMethod(
"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
agent1.agentParameters = new AgentParameters();
agent2.agentParameters = new AgentParameters();
brain.brainParameters = new BrainParameters();
// We use event based so the agent will now try to send anything to the brain
agent1.agentParameters.onDemandDecision = false;
agent1.agentParameters.numberOfActionsBetweenDecisions = 2;
// 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
brain.brainParameters.vectorObservationSize = 0;
brain.brainParameters.cameraResolutions = new resolution[0];
agent1.GiveBrain(brain);
agent2.GiveBrain(brain);
AgentEnableMethod.Invoke(agent2, new object[] { aca });
AcademyInitializeMethod.Invoke(aca, new object[] { });
int numberAgent1Reset = 0;
int numberAgent2Reset = 0;
int numberAcaReset = 0;
int acaStepsSinceReset = 0;
int agent1StepSinceReset = 0;
int agent2StepSinceReset = 0;
int requestDecision = 0;
int requestAction = 0;
for (int i = 0; i < 5000; i++)
{
Assert.AreEqual(acaStepsSinceReset, aca.GetStepCount());
Assert.AreEqual(1, aca.initializeAcademyCalls);
Assert.AreEqual(numberAcaReset, aca.GetEpisodeCount());
Assert.AreEqual(false, aca.IsDone());
Assert.AreEqual(numberAcaReset, aca.academyResetCalls);
Assert.AreEqual(i, aca.AcademyStepCalls);
Assert.AreEqual(agent2StepSinceReset, agent2.GetStepCount());
Assert.AreEqual(numberAgent1Reset, agent1.agentResetCalls);
Assert.AreEqual(numberAgent2Reset, agent2.agentResetCalls);
// Agent 2 and academy reset at the first step
if (i == 0)
{
numberAcaReset += 1;
numberAgent2Reset += 1;
}
//Agent 1 is only initialized at step 2
if (i == 2)
{
AgentEnableMethod.Invoke(agent1, new object[] { aca });
}
// Reset Academy every 100 steps
if (i % 100 == 3)
{
aca.Done();
numberAcaReset += 1;
acaStepsSinceReset = 0;
}
// Set agent 1 to done every 11 steps to test behavior
if (i % 11 == 5)
{
agent1.Done();
}
// Reseting agent 2 regularly
if (i % 13 == 3)
{
if (!(agent2.IsDone() || aca.IsDone()))
{
// If the agent was already reset before the request decision
// We should not reset again
agent2.Done();
numberAgent2Reset += 1;
agent2StepSinceReset = 0;
}
}
// Request a decision for agent 2 regularly
if (i % 3 == 2)
{
requestDecision += 1;
requestAction += 1;
agent2.RequestDecision();
}
else if (i % 5 == 1)
{
// Request an action without decision regularly
requestAction += 1;
agent2.RequestAction();
}
if (agent1.IsDone() && (((acaStepsSinceReset) % agent1.agentParameters.numberOfActionsBetweenDecisions == 0)) || aca.IsDone())
{
numberAgent1Reset += 1;
agent1StepSinceReset = 0;
}
if (aca.IsDone())
{
numberAgent2Reset += 1;
agent2StepSinceReset = 0;
}
acaStepsSinceReset += 1;
agent1StepSinceReset += 1;
agent2StepSinceReset += 1;
//Agent 1 is only initialized at step 2
if (i < 2)
{
agent1StepSinceReset = 0;
}
AcademyStepMethod.Invoke((object)aca, new object[] { });
}
}
public void TestAgent()
{
GameObject agentGO1 = new GameObject("TestAgent");
agentGO1.AddComponent <TestAgent>();
TestAgent agent1 = agentGO1.GetComponent <TestAgent>();
GameObject agentGO2 = new GameObject("TestAgent");
agentGO2.AddComponent <TestAgent>();
TestAgent agent2 = agentGO2.GetComponent <TestAgent>();
GameObject acaGO = new GameObject("TestAcademy");
acaGO.AddComponent <TestAcademy>();
TestAcademy aca = acaGO.GetComponent <TestAcademy>();
GameObject brainGO = new GameObject("TestBrain");
brainGO.transform.parent = acaGO.transform;
brainGO.AddComponent <TestBrain>();
TestBrain brain = brainGO.GetComponent <TestBrain>();
MethodInfo AgentEnableMethod = typeof(Agent).GetMethod(
"OnEnableHelper", BindingFlags.Instance | BindingFlags.NonPublic);
MethodInfo AcademyInitializeMethod = typeof(Academy).GetMethod(
"InitializeEnvironment", BindingFlags.Instance | BindingFlags.NonPublic);
agent1.agentParameters = new AgentParameters();
agent2.agentParameters = new AgentParameters();
brain.brainParameters = new BrainParameters();
// We use event based so the agent will now try to send anything to the brain
agent1.agentParameters.onDemandDecision = false;
agent1.agentParameters.numberOfActionsBetweenDecisions = 2;
// 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
brain.brainParameters.vectorObservationSize = 0;
brain.brainParameters.cameraResolutions = new resolution[0];
agent1.GiveBrain(brain);
agent2.GiveBrain(brain);
AgentEnableMethod.Invoke(agent1, new object[] { aca });
AcademyInitializeMethod.Invoke(aca, new object[] { });
MethodInfo AcademyStepMethod = typeof(Academy).GetMethod(
"EnvironmentStep", BindingFlags.Instance | BindingFlags.NonPublic);
int numberAgent1Reset = 0;
int numberAgent2Initialization = 0;
int requestDecision = 0;
int requestAction = 0;
for (int i = 0; i < 50; i++)
{
Assert.AreEqual(numberAgent1Reset, agent1.agentResetCalls);
// Agent2 is never reset since intialized after academy
Assert.AreEqual(0, agent2.agentResetCalls);
Assert.AreEqual(1, agent1.initializeAgentCalls);
Assert.AreEqual(numberAgent2Initialization, agent2.initializeAgentCalls);
Assert.AreEqual(i, agent1.agentActionCalls);
Assert.AreEqual(requestAction, agent2.agentActionCalls);
Assert.AreEqual((i + 1) / 2, agent1.collectObservationsCalls);
Assert.AreEqual(requestDecision, agent2.collectObservationsCalls);
// Agent 1 resets at the first step
if (i == 0)
{
numberAgent1Reset += 1;
}
//Agent 2 is only initialized at step 2
if (i == 2)
{
AgentEnableMethod.Invoke(agent2, new object[] { aca });
numberAgent2Initialization += 1;
}
// We are testing request decision and request actions when called
// at different intervals
if ((i % 3 == 0) && (i > 2))
{
//Every 3 steps after agent 2 is initialized, request decision
requestDecision += 1;
requestAction += 1;
agent2.RequestDecision();
}
else if ((i % 5 == 0) && (i > 2))
{
// Every 5 steps after agent 2 is initialized, request action
requestAction += 1;
agent2.RequestAction();
}
AcademyStepMethod.Invoke(aca, new object[] { });
}
}