public void Tick(TeamsConfig teamsConfig)
{
//Debug.Log("EvaluationManager.Tick()!");
TickEvaluations(teamsConfig);
TickExhibition(teamsConfig);
}
public void ExhibitionNextGenome(TeamsConfig teamsConfig)
{
EvaluationTicket exhibitionTicket = exhibitionTicketList[exhibitionTicketCurrentIndex];
int currentFocusPop = exhibitionTicket.focusPopIndex;
// AGENT 0
int currentGenomeIndex0 = exhibitionTicket.agentGenomesList[0].index;
currentGenomeIndex0++;
if (currentGenomeIndex0 >= (teamsConfig.playersList[0].agentGenomeList.Count))
{
currentGenomeIndex0 = 0;
}
exhibitionTicket.agentGenomesList[0] = teamsConfig.playersList[0].agentGenomeList[currentGenomeIndex0];
// AGENT 1
int currentGenomeIndex1 = exhibitionTicket.agentGenomesList[1].index;
currentGenomeIndex1++;
if (currentGenomeIndex1 >= (teamsConfig.playersList[1].agentGenomeList.Count))
{
currentGenomeIndex1 = 0;
}
exhibitionTicket.agentGenomesList[1] = teamsConfig.playersList[1].agentGenomeList[currentGenomeIndex1];
ResetExhibitionInstance(teamsConfig);
}
public void Initialize(TeamsConfig teamsConfig, TournamentInfo tournamentInfo)
{
Debug.Log("TournamentManager Initialize");
currentTournamentInfo = tournamentInfo;
// Load Competitors,
// Create Match Schedule
// Process Tournament Info:
tournamentInfo.PrepareTournament(teamsConfig.playersList[0].agentGenomeList[0]);
gameManager.prestige -= tournamentInfo.entranceFee;
// Set up Exhibition Instance:
if (tournamentInstance == null)
{
GameObject tournamentInstanceGO = new GameObject("TournamentInstance");
tournamentInstance = tournamentInstanceGO.AddComponent <EvaluationInstance>();
tournamentInstance.transform.position = new Vector3(0f, 0f, 0f);
tournamentInstance.visible = true;
tournamentInstance.isExhibition = true;
}
else
{
tournamentInstance.gameObject.SetActive(true);
}
}
public void TickExhibition(TeamsConfig teamsConfig)
{
if (exhibitionInstance.currentEvalTicket == null)
{
// first-time setup:
ResetExhibitionInstance(teamsConfig);
}
else
{
if (exhibitionInstance.currentEvalTicket.status == EvaluationTicket.EvaluationStatus.Pending)
{
}
else if (exhibitionInstance.currentEvalTicket.status == EvaluationTicket.EvaluationStatus.InProgress)
{
exhibitionInstance.Tick();
}
else if (exhibitionInstance.currentEvalTicket.status == EvaluationTicket.EvaluationStatus.PendingComplete)
{
ExhibitionNextGenome(teamsConfig);
exhibitionInstance.ClearInstance();
}
else // Complete
{
exhibitionInstance.ClearInstance();
}
}
}
public void SetUpInstance(EvaluationTicket evalTicket, TeamsConfig teamsConfig)
{
this.teamsConfig = teamsConfig;
this.maxTimeSteps = evalTicket.maxTimeSteps;
currentEvalTicket = evalTicket;
BruteForceInit();
currentEvalTicket.status = EvaluationTicket.EvaluationStatus.InProgress;
}
public void ResetExhibitionTicket(TeamsConfig teamsConfig)
{
// Set Genomes:
int numPlayers = teamsConfig.playersList.Count;
for (int i = 0; i < numPlayers; i++)
{
exhibitionTicketList[0].agentGenomesList[i] = teamsConfig.playersList[i].representativeGenomeList[0];
}
exhibitionTicketList[0].environmentGenome = teamsConfig.environmentPopulation.representativeGenomeList[0];
//exhibitionTicketList[0].environmentGenome.ClearEnvironmentPrefab();
}
public void LoadTraining(string filePath)
{
Debug.Log("LoadTraining: " + filePath);
// Read the json from the file into a string
string dataAsJson = File.ReadAllText(filePath);
// Pass the json to JsonUtility, and tell it to create a GameData object from it
TeamsConfig loadedData = JsonUtility.FromJson <TeamsConfig>(dataAsJson);
teamsConfig = loadedData;
LoadTrainingMode();
}
public void InitializeExhibitionTickets(TeamsConfig teamsConfig)
{
int numPlayers = teamsConfig.playersList.Count;
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
for (int i = 0; i < numPlayers; i++)
{
agentGenomesList.Add(teamsConfig.playersList[i].representativeGenomeList[0]);
}
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[0], agentGenomesList, 0, maxTimeStepsDefault);
exhibitionTicketList.Add(evalTicket);
}
public void ResetForNewGeneration(TeamsConfig teamsConfig)
{
for (int i = 0; i < evaluationInstancesList.Count; i++)
{
evaluationInstancesList[i].ClearInstance();
}
ClearEvaluationTickets();
CreateDefaultEvaluationTickets(teamsConfig);
allEvalsComplete = false;
ResetExhibitionTicket(teamsConfig);
ResetExhibitionInstance(teamsConfig);
EnableInstances();
exhibitionTicketCurrentIndex = 0;
}
// First-time Initialization -- triggered through gameManager & GUI
public void NewTrainingMode(Challenge.Type challengeType)
{
this.challengeType = challengeType;
// Initialize
int numPlayers = 1;
switch (this.challengeType)
{
case Challenge.Type.Test:
Debug.Log("Switch: Test");
numPlayers = 1;
break;
case Challenge.Type.Racing:
Debug.Log("Switch: Racing");
numPlayers = 1;
break;
case Challenge.Type.Combat:
Debug.Log("Switch: Combat");
numPlayers = 2;
break;
default:
Debug.Log("Switch: Default");
break;
}
// environment is evolvable, 1 player:
teamsConfig = new TeamsConfig(numPlayers, this.challengeType, 1, 1);
playingCurGen = 0;
evaluationManager = new EvaluationManager();
// Need to make sure all populations have their representatives set up before calling this:
// Right now this is done through the teamsConfig Constructor
evaluationManager.InitializeNewTraining(teamsConfig, challengeType); // should I just roll this into the Constructor?
isTraining = true;
//cameraEnabled = true;
gameManager.uiManager.panelTraining.moduleViewUI.SetPendingGenomesFromData(this);
}
public void NewTrainingMode()
{
// Initialize
int numPlayers = 2;
// environment is evolvable, 1 player:
teamsConfig = new TeamsConfig(numPlayers, 1, 1);
playingCurGen = 0;
evaluationManager = new EvaluationManager();
// Need to make sure all populations have their representatives set up before calling this:
// Right now this is done through the teamsConfig Constructor
evaluationManager.InitializeNewTraining(teamsConfig); // should I just roll this into the Constructor?
isTraining = true;
//cameraEnabled = true;
//gameManager.uiManager.panelTraining.moduleViewUI.SetPendingGenomesFromData(this);
}
public void InitializeNewTraining(TeamsConfig teamsConfig)
{
// Set up eval tickets:
evaluationTicketList = new List <EvaluationTicket>();
exhibitionTicketList = new List <EvaluationTicket>();
//evaluationTicketQueue = new Queue<EvaluationTicket>();
// Set up Exhibition Instance:
GameObject exhibitionInstanceGO = new GameObject("ExhibitionInstance");
exhibitionInstance = exhibitionInstanceGO.AddComponent <EvaluationInstance>();
exhibitionInstance.transform.position = new Vector3(0f, 0f, 0f);
exhibitionInstance.visible = true;
exhibitionInstance.isExhibition = true;
CreateEvaluationInstances();
CreateDefaultEvaluationTickets(teamsConfig); // creates combinatorics for each Population's representatives
InitializeExhibitionTickets(teamsConfig);
Debug.Log("EvalManager Initialized!");
}
public void CreateDefaultEvaluationTickets(TeamsConfig teamsConfig)
{
allEvalsComplete = false;
// TEMPORARY!!! BRUTE FORCE SOLUTION -- MAX 4 Players!!!:
int numPlayers = teamsConfig.playersList.Count;
if (numPlayers > 4)
{
Debug.Assert(true, "More than 4 Players not currently supported! NumPlayers: " + numPlayers.ToString());
}
else
{
// Environment First:
for (int e = 0; e < teamsConfig.environmentPopulation.environmentGenomeList.Count; e++)
{
// 1+ Player:
for (int i = 0; i < teamsConfig.playersList[0].representativeGenomeList.Count; i++)
{
if (numPlayers > 1)
{
// 2+ Players:
for (int j = 0; j < teamsConfig.playersList[1].representativeGenomeList.Count; j++)
{
if (numPlayers > 2)
{
// 3+ Players:
for (int k = 0; k < teamsConfig.playersList[2].representativeGenomeList.Count; k++)
{
if (numPlayers > 3)
{
// 4 Players
for (int m = 0; m < teamsConfig.playersList[3].representativeGenomeList.Count; m++)
{
// 4 Players
//string text = "envIndex: *" + e.ToString() + "*, agentIndices: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + "," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + "," + teamsConfig.playersList[2].representativeGenomeList[k].index.ToString() + "," + teamsConfig.playersList[3].representativeGenomeList[m].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[5];
//indices[0] = e;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j; // teamsConfig.playersList[1].representativeGenomeList[j].index;
//indices[3] = k; // teamsConfig.playersList[2].representativeGenomeList[k].index;
//indices[4] = m; // teamsConfig.playersList[3].representativeGenomeList[m].index;
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].representativeGenomeList[k]);
agentGenomesList.Add(teamsConfig.playersList[3].representativeGenomeList[m]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.environmentGenomeList[e], agentGenomesList, 0, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
else // 3 Players
//string text = "envIndex: *" + e.ToString() + "*, agentIndices: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + "," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + "," + teamsConfig.playersList[2].representativeGenomeList[k].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[4];
//indices[0] = e;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j; // teamsConfig.playersList[1].representativeGenomeList[j].index;
//indices[3] = k; // teamsConfig.playersList[2].representativeGenomeList[k].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 0, maxTimeStepsDefault);
{
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].representativeGenomeList[k]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.environmentGenomeList[e], agentGenomesList, 0, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
else // 2 Players:
//string text = "envIndex: *" + e.ToString() + "*, agentIndices: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + "," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[3];
//indices[0] = e;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j; // teamsConfig.playersList[1].representativeGenomeList[j].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 0, maxTimeStepsDefault);
{
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.environmentGenomeList[e], agentGenomesList, 0, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
else // 1 Player:
//string text = "envIndex: *" + e.ToString() + "*, agentIndex: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[2];
//indices[0] = e;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 0, maxTimeStepsDefault);
{
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
//Debug.Log(e.ToString() + ", " + teamsConfig.environmentPopulation.environmentGenomeList[e].index.ToString());
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.environmentGenomeList[e], agentGenomesList, 0, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
if (numPlayers > 0)
{
// Player 1:
for (int i = 0; i < teamsConfig.playersList[0].agentGenomeList.Count; i++)
{
for (int e = 0; e < teamsConfig.environmentPopulation.representativeGenomeList.Count; e++)
{
if (numPlayers > 1)
{
for (int j = 0; j < teamsConfig.playersList[1].representativeGenomeList.Count; j++)
{
if (numPlayers > 2)
{
for (int k = 0; k < teamsConfig.playersList[2].representativeGenomeList.Count; k++)
{
if (numPlayers > 3)
{
// 4 Players:
for (int m = 0; m < teamsConfig.playersList[3].representativeGenomeList.Count; m++)
{
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [*" + i.ToString() + "*," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + "," + teamsConfig.playersList[2].representativeGenomeList[k].index.ToString() + "," + teamsConfig.playersList[3].representativeGenomeList[m].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[5];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i;
//indices[2] = j; //teamsConfig.playersList[1].representativeGenomeList[j].index;
//indices[3] = k; // teamsConfig.playersList[2].representativeGenomeList[k].index;
//indices[4] = m; // teamsConfig.playersList[3].representativeGenomeList[m].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 1, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].agentGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].representativeGenomeList[k]);
agentGenomesList.Add(teamsConfig.playersList[3].representativeGenomeList[m]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 1, maxTimeStepsDefault);
//EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.environmentGenomeList[j], agentGenomesList, 1, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
else
{
// 3 Players:
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [*" + i.ToString() + "*," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + "," + teamsConfig.playersList[2].representativeGenomeList[k].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[4];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i;
//indices[2] = j; // teamsConfig.playersList[1].representativeGenomeList[j].index;
//indices[3] = k; // teamsConfig.playersList[2].representativeGenomeList[k].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 1, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].agentGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].representativeGenomeList[k]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 1, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
else
{
// 2 Players:
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [*" + i.ToString() + "*," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[3];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i;
//indices[2] = j; // teamsConfig.playersList[1].representativeGenomeList[j].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 1, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].agentGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
//EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 1, maxTimeStepsDefault);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.environmentGenomeList[j], agentGenomesList, 1, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
else
{
// 1 Player:
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [*" + i.ToString() + "*]";
//Debug.Log(text);
//int[] indices = new int[2];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 1, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].agentGenomeList[i]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 1, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
if (numPlayers > 1)
{
// more than 1 player -- do player 2:
// 2 Players:
for (int j = 0; j < teamsConfig.playersList[1].agentGenomeList.Count; j++) // Player 2 focus
{
for (int e = 0; e < teamsConfig.environmentPopulation.representativeGenomeList.Count; e++)
{
for (int i = 0; i < teamsConfig.playersList[0].representativeGenomeList.Count; i++)
{
if (numPlayers > 2)
{
for (int k = 0; k < teamsConfig.playersList[2].representativeGenomeList.Count; k++)
{
if (numPlayers > 3)
{
// 4 Players:
for (int m = 0; m < teamsConfig.playersList[3].representativeGenomeList.Count; m++)
{
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + ",*" + j.ToString() + "*," + teamsConfig.playersList[2].representativeGenomeList[k].index.ToString() + "," + teamsConfig.playersList[3].representativeGenomeList[m].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[5];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j;
//indices[3] = k; // teamsConfig.playersList[2].representativeGenomeList[k].index;
//indices[4] = m; // teamsConfig.playersList[3].representativeGenomeList[m].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 2, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].agentGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].representativeGenomeList[k]);
agentGenomesList.Add(teamsConfig.playersList[3].representativeGenomeList[m]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 2, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
else
{
// 3 Players:
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + ",*" + j.ToString() + "*," + teamsConfig.playersList[2].representativeGenomeList[k].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[4];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j;
//indices[3] = k; // teamsConfig.playersList[2].representativeGenomeList[k].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 2, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].agentGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].representativeGenomeList[k]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 2, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
else
{
// 2 Players:
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + ",*" + j.ToString() + "*]";
//Debug.Log(text);
//int[] indices = new int[3];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 2, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].agentGenomeList[j]);
//EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 2, maxTimeStepsDefault);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.environmentGenomeList[i], agentGenomesList, 2, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
}
if (numPlayers > 2)
{
// more than 2 players: do player 3:
// 3 Players:
for (int k = 0; k < teamsConfig.playersList[2].agentGenomeList.Count; k++) // Player 2 focus
{
for (int e = 0; e < teamsConfig.environmentPopulation.representativeGenomeList.Count; e++)
{
for (int i = 0; i < teamsConfig.playersList[0].representativeGenomeList.Count; i++)
{
for (int j = 0; j < teamsConfig.playersList[1].representativeGenomeList.Count; j++)
{
if (numPlayers > 3)
{
// 4 Players:
for (int m = 0; m < teamsConfig.playersList[3].representativeGenomeList.Count; m++)
{
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + "," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + ",*" + k.ToString() + "*," + teamsConfig.playersList[3].representativeGenomeList[m].index.ToString() + "]";
//Debug.Log(text);
//int[] indices = new int[5];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j; // teamsConfig.playersList[1].representativeGenomeList[j].index;
//indices[3] = k;
//indices[4] = m; // teamsConfig.playersList[3].representativeGenomeList[m].index;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 3, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].agentGenomeList[k]);
agentGenomesList.Add(teamsConfig.playersList[3].representativeGenomeList[m]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 3, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
else
{
// 3 Players:
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + "," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + ",*" + k.ToString() + "*]";
//Debug.Log(text);
//int[] indices = new int[4];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j; // teamsConfig.playersList[1].representativeGenomeList[j].index;
//indices[3] = k;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 3, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].agentGenomeList[k]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 3, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
}
}
if (numPlayers > 3)
{
// 4 Players:
for (int m = 0; m < teamsConfig.playersList[3].agentGenomeList.Count; m++) // Player 2 focus
{
for (int e = 0; e < teamsConfig.environmentPopulation.representativeGenomeList.Count; e++)
{
for (int i = 0; i < teamsConfig.playersList[0].representativeGenomeList.Count; i++)
{
for (int j = 0; j < teamsConfig.playersList[1].representativeGenomeList.Count; j++)
{
for (int k = 0; k < teamsConfig.playersList[2].representativeGenomeList.Count; k++)
{
// 4 Players:
//string text = "envIndex: " + teamsConfig.environmentPopulation.representativeGenomeList[e].index.ToString() + ", agentIndex: [" + teamsConfig.playersList[0].representativeGenomeList[i].index.ToString() + "," + teamsConfig.playersList[1].representativeGenomeList[j].index.ToString() + "," + teamsConfig.playersList[1].representativeGenomeList[k].index.ToString() + ",*" + m.ToString() + "*]";
//Debug.Log(text);
//int[] indices = new int[5];
//indices[0] = e; // teamsConfig.environmentPopulation.representativeGenomeList[e].index;
//indices[1] = i; // teamsConfig.playersList[0].representativeGenomeList[i].index;
//indices[2] = j; // teamsConfig.playersList[1].representativeGenomeList[j].index;
//indices[3] = k; // teamsConfig.playersList[2].representativeGenomeList[k].index;
//indices[4] = m;
//EvaluationTicket evalTicket = new EvaluationTicket(indices, 4, maxTimeStepsDefault);
List <AgentGenome> agentGenomesList = new List <AgentGenome>();
agentGenomesList.Add(teamsConfig.playersList[0].representativeGenomeList[i]);
agentGenomesList.Add(teamsConfig.playersList[1].representativeGenomeList[j]);
agentGenomesList.Add(teamsConfig.playersList[2].representativeGenomeList[k]);
agentGenomesList.Add(teamsConfig.playersList[3].agentGenomeList[m]);
EvaluationTicket evalTicket = new EvaluationTicket(teamsConfig.environmentPopulation.representativeGenomeList[e], agentGenomesList, 4, maxTimeStepsDefault);
evaluationTicketList.Add(evalTicket);
}
}
}
}
}
}
}
}
}
}
/*string evalText = "";
* for(int i = 0; i < evaluationTicketList.Count; i++) {
* evalText += "(";
* for (int j = 0; j < evaluationTicketList[i].genomeIndices.Length; j++) {
* evalText += evaluationTicketList[i].genomeIndices[j].ToString() + ",";
* }
* evalText += ")\n";
* }
* Debug.Log(evalText);*/
}
public void Init1(TeamsConfig teamsConfig)
{
challengeType = teamsConfig.challengeType;
// Temp hardcoded!!!!!
competitionType = CompetitionType.Independent;
competitionFormat = CompetitionFormat.HighScore;
numOpponents = 1;
tournamentRoundList = new List <TournamentRound>();
TournamentRound round1 = new TournamentRound(0);
// MOCKUP:
int[] competitorIDs = new int[1];
competitorIDs[0] = -1;
// Match1
string savename = "env1";
string path = Application.dataPath + "/IndividualSaves/Environments/" + savename + ".json";
// Read the json from the file into a string
string dataAsJson = File.ReadAllText(path);
EnvironmentGenome loadedGenome1 = JsonUtility.FromJson <EnvironmentGenome>(dataAsJson);
List <AgentGenome> agentGenomesList1 = new List <AgentGenome>();
agentGenomesList1.Add(teamsConfig.playersList[0].agentGenomeList[0]);
EvaluationTicket ticket1 = new EvaluationTicket(loadedGenome1, agentGenomesList1, 1, 1000);
TournamentMatchup matchup1 = new TournamentMatchup(0, ticket1, 0, competitorIDs);
round1.matchupList.Add(matchup1);
// Match2
savename = "env2";
path = Application.dataPath + "/IndividualSaves/Environments/" + savename + ".json";
// Read the json from the file into a string
dataAsJson = File.ReadAllText(path);
EnvironmentGenome loadedGenome2 = JsonUtility.FromJson <EnvironmentGenome>(dataAsJson);
List <AgentGenome> agentGenomesList2 = new List <AgentGenome>();
agentGenomesList2.Add(teamsConfig.playersList[0].agentGenomeList[0]);
EvaluationTicket ticket2 = new EvaluationTicket(loadedGenome2, agentGenomesList2, 1, 1000);
TournamentMatchup matchup2 = new TournamentMatchup(1, ticket2, 1, competitorIDs);
round1.matchupList.Add(matchup2);
// Matchup3:
savename = "env3";
path = Application.dataPath + "/IndividualSaves/Environments/" + savename + ".json";
// Read the json from the file into a string
dataAsJson = File.ReadAllText(path);
EnvironmentGenome loadedGenome3 = JsonUtility.FromJson <EnvironmentGenome>(dataAsJson);
List <AgentGenome> agentGenomesList3 = new List <AgentGenome>();
agentGenomesList3.Add(teamsConfig.playersList[0].agentGenomeList[0]);
EvaluationTicket ticket3 = new EvaluationTicket(loadedGenome3, agentGenomesList3, 1, 1000);
TournamentMatchup matchup3 = new TournamentMatchup(2, ticket3, 2, competitorIDs);
round1.matchupList.Add(matchup3);
tournamentRoundList.Add(round1);
}
public void CreateOneTrueParticleSystem(TeamsConfig teamsConfig)
{
GameObject particleGO = Instantiate(Resources.Load("Prefabs/ParticleSystems/Trajectory")) as GameObject;
particleGO.name = "theOneTrueCurve";
particleGO.transform.parent = this.transform;
singleTrajectoryCurvesPS = particleGO.GetComponent <ParticleSystem>();
/*var children = new List<GameObject>();
* foreach (Transform child in gameObject.transform) children.Add(child.gameObject);
* children.ForEach(child => Destroy(child));
*
* if (particleDictionary == null) {
* particleDictionary = new Dictionary<string, ParticleSystem>();
* }
* else {
* particleDictionary.Clear();
* }
*
* int numPlayers = teamsConfig.playersList.Count;
*
* for(int i = 0; i < numPlayers; i++) {
* // For each Player:
*
* //for each combination of opponent representatives:
* //List<int[]> indicesList = new List<int[]>();
* // use these as key?
*
*
* if(numPlayers > 1) {
* // 2 or more players:
* for(int j = 0; j < teamsConfig.environmentPopulation.representativeGenomeList.Count; j++) {
* // env reps
* // will only work with 2 players!!! v v v v v v v !!!
* for(int k = 0; k < teamsConfig.playersList[1 - i].representativeGenomeList.Count; k++) {
* int[] indices = new int[numPlayers + 2]; // focusPop, + env, + players
* indices[0] = i + 1; // focusPop index, env = 0, player 1 = 1
* indices[1] = j; // environment
* indices[2] = 0; // player1, irrelevant
* indices[3] = 0; // player2, irrelevant
* indices[3 - i] = k; // overwrite proper index
*
* string txt = "";
* for (int x = 0; x < indices.Length; x++) {
* txt += indices[x].ToString();
* }
* GameObject particleGO = Instantiate(Resources.Load("Prefabs/ParticleSystems/Trajectory")) as GameObject;
* particleGO.name = txt;
* particleGO.transform.parent = this.transform;
* ParticleSystem particle = particleGO.GetComponent<ParticleSystem>();
* particleDictionary.Add(txt, particle);
*
* //Debug.Log(particleDictionary.TryGetValue(txt, out particle));
* }
* }
* }
* else {
* // 1 Player!
* for(int j = 0; j < teamsConfig.environmentPopulation.representativeGenomeList.Count; j++) {
* int[] indices = new int[numPlayers + 2]; // focusPop, + env, + players
* indices[0] = i+1; // focusPop index, env = 0, player 1 = 1
* indices[1] = j; // environment
* indices[2] = 0; // player1, irrelevant
*
* string txt = "";
* for(int x = 0; x < indices.Length; x++) {
* txt += indices[x].ToString();
* }
* GameObject particleGO = Instantiate(Resources.Load("Prefabs/ParticleSystems/Trajectory")) as GameObject;
* particleGO.name = txt;
* particleGO.transform.parent = this.transform;
* ParticleSystem particle = particleGO.GetComponent<ParticleSystem>();
* particleDictionary.Add(txt, particle);
* }
* }
* }*/
}
public TournamentInfo(TeamsConfig teamsConfig)
{
Debug.Log("TournamentInfo()");
//Init1(teamsConfig);
}
public void ResetExhibitionInstance(TeamsConfig teamsConfig)
{
exhibitionInstance.SetUpInstance(exhibitionTicketList[exhibitionTicketCurrentIndex], teamsConfig);
}
public void SetUpInstance(EvaluationTicket evalTicket, TeamsConfig teamsConfig, ExhibitionParticleCurves exhibitionParticleCurves)
{
this.teamsConfig = teamsConfig;
this.challengeType = teamsConfig.challengeType;
this.maxTimeSteps = evalTicket.maxTimeSteps;
/*string debugname = "";
* for( int i = 0; i < evalTicket.genomeIndices.Length; i++) {
* debugname += evalTicket.genomeIndices[i].ToString() + ",";
* }
* debugname += evalTicket.focusPopIndex.ToString();
* gameObject.name = debugname;*/
// create particle key:
/*int[] indices = new int[teamsConfig.playersList.Count + 2];
* indices[0] = evalTicket.focusPopIndex;
* for(int i = 0; i < evalTicket.genomeIndices.Length; i++) {
* indices[i + 1] = evalTicket.genomeIndices[i];
* }
* indices[indices[0] + 1] = 0; // focusPop is 0
*/
/*int[] indices = new int[teamsConfig.playersList.Count + 2];
* indices[0] = evalTicket.focusPopIndex;
* for (int i = 0; i < evalTicket.agentGenomesList.Count + 1; i++) {
* if (i == 0) {
* indices[i + 1] = evalTicket.environmentGenome.index;
* }
* else {
* indices[i + 1] = evalTicket.agentGenomesList[i - 1].index;
* }
* //indices[i + 1] = ticket.genomeIndices[i];
* }
*
* string txt = "";
* for(int i = 0; i < indices.Length; i++) {
* txt += indices[i].ToString();
* }*/
//Debug.Log(txt);
/*if (exhibitionParticleRef.particleDictionary != null) {
* if (exhibitionParticleRef.particleDictionary.TryGetValue(txt, out particleCurves)) {
* // particleCurves
* //Debug.Log("FOUND IT! set up " + txt);
*
* emit = true;
* if (isExhibition)
* emit = false;
* }
* else {
* //if (!isExhibition)
* //Debug.Log("Eval Instance Setup FAIL " + txt);
* emit = false;
* }
* }*/
if (evalTicket.environmentGenome.index == 0) // if this instance is testing an agent vs. the Top Environment, record its curves:
{
if (isExhibition)
{
//emit = false;
particleCurves = exhibitionParticleCurves.singleTrajectoryCurvesPS;
emit = true;
}
else
{
particleCurves = exhibitionParticleCurves.singleTrajectoryCurvesPS;
emit = true;
}
}
else
{
emit = false;
}
currentEvalTicket = evalTicket;
BruteForceInit();
currentEvalTicket.status = EvaluationTicket.EvaluationStatus.InProgress;
//emitterParamsDefault.startSize = 0.12f;
//emitterParamsDefault.startColor = new Color(1f, 1f, 1f, 0.1f);
emitterParamsWin.startSize = 1.2f;
emitterParamsWin.startColor = new Color(0.1f, 1f, 0.1f, 1f);
emitterParamsLose.startSize = 1.2f;
emitterParamsLose.startColor = new Color(1f, 0.1f, 0.1f, 1f);
emitterParamsDraw.startSize = 1.0f;
emitterParamsDraw.startColor = new Color(0.4f, 0.4f, 0.4f, 1f);
}
public void TickEvaluations(TeamsConfig teamsConfig)
{
// Check training status:
// Auto Parallel Mode!!!!!
// loop through evalInstances -- if pending, start evaluating with next free evalPair
// if inProgress, Tick()
int maxEvalConstructionsPerFrame = 1;
int numEvalConstructionsThisFrame = 0;
for (int i = 0; i < evaluationInstancesList.Count; i++)
{
if (evaluationInstancesList[i].currentEvalTicket == null)
{
if (numEvalConstructionsThisFrame >= maxEvalConstructionsPerFrame)
{
// ignore
}
else
{
// available for use
// Find next available evalPair:
int currentEvalPairIndex = GetNextPendingEvalPairIndex();
if (currentEvalPairIndex == -1)
{
// no evals pending
}
else
{
//print("evalPair: " + currentEvalPairIndex.ToString() + " (" + evaluationPairsList[currentEvalPairIndex].status.ToString() + "), [" + evaluationPairsList[currentEvalPairIndex].evalPairIndices[0].ToString() + "," + evaluationPairsList[currentEvalPairIndex].evalPairIndices[1].ToString() + "]");
evaluationInstancesList[i].SetUpInstance(evaluationTicketList[currentEvalPairIndex], teamsConfig);
numEvalConstructionsThisFrame++;
}
}
}
else
{
if (evaluationInstancesList[i].currentEvalTicket.status == EvaluationTicket.EvaluationStatus.InProgress)
{
// Tick
evaluationInstancesList[i].Tick();
}
if (evaluationInstancesList[i].currentEvalTicket.status == EvaluationTicket.EvaluationStatus.PendingComplete)
{
// CleanUp and Process
// Instance finished but not fully processed
// STORE FITNESS
if (evaluationInstancesList[i].currentEvalTicket.focusPopIndex == 0) // Environment
//teamsConfig.environmentPopulation.fitnessManager.rawFitnessScores[evaluationInstancesList[i].currentEvalTicket.genomeIndices[0]] += evaluationInstancesList[i].score;
//Debug.Log("evalInstance " + i.ToString() + ", Enviro rawScore=" + evaluationInstancesList[i].fitnessComponentEvaluationGroup.fitCompList[0].rawScore.ToString());
{
}
// Players:
else if (evaluationInstancesList[i].currentEvalTicket.focusPopIndex == 1)
{
//teamsConfig.playersList[0].fitnessManager.rawFitnessScores[evaluationInstancesList[i].currentEvalTicket.genomeIndices[1]] += evaluationInstancesList[i].score;
//Debug.Log("evalInstance " + i.ToString() + ", Player 1 rawScore=" + evaluationInstancesList[i].fitnessComponentEvaluationGroup.fitCompList[0].rawScore.ToString());
}
else if (evaluationInstancesList[i].currentEvalTicket.focusPopIndex == 2)
{
//teamsConfig.playersList[1].fitnessManager.rawFitnessScores[evaluationInstancesList[i].currentEvalTicket.genomeIndices[2]] += evaluationInstancesList[i].score;
}
else if (evaluationInstancesList[i].currentEvalTicket.focusPopIndex == 3)
{
//teamsConfig.playersList[2].fitnessManager.rawFitnessScores[evaluationInstancesList[i].currentEvalTicket.genomeIndices[3]] += evaluationInstancesList[i].score;
}
else // 4
//teamsConfig.playersList[3].fitnessManager.rawFitnessScores[evaluationInstancesList[i].currentEvalTicket.genomeIndices[4]] += evaluationInstancesList[i].score;
{
}
evaluationInstancesList[i].DeleteAllGameObjects();
evaluationInstancesList[i].currentEvalTicket.status = EvaluationTicket.EvaluationStatus.Complete;
evaluationInstancesList[i].currentEvalTicket = null;
}
}
}
// check for Gen complete:
bool genComplete = true;
for (int i = 0; i < evaluationTicketList.Count; i++)
{
if (evaluationTicketList[i].status == EvaluationTicket.EvaluationStatus.Complete)
{
}
else
{
genComplete = false;
}
}
if (genComplete)
{
// All evals complete!
//TerrainConstructorGPU.ClearCustomHeightRT();
//Debug.Log("EvaluationManager allEvalsComplete!!!");
allEvalsComplete = true;
// NEXTGEN READY
}
}
