private void ResetGeneration()
{
// Restarts the training generation from scratch immediately:
// Should be able to remove this eventually:
teamsConfig.environmentPopulation.fitnessManager.ProcessAndRankRawFitness(teamsConfig.environmentPopulation.popSize);
// Record and Remove Baseline Genomes:
teamsConfig.environmentPopulation.TrimBaselineGenomes();
for (int i = 0; i < teamsConfig.playersList.Count; i++)
{
//Debug.Log("Player " + i.ToString());
teamsConfig.playersList[i].fitnessManager.ProcessAndRankRawFitness(teamsConfig.playersList[i].popSize);
// Record and Remove Baseline Genomes:
teamsConfig.playersList[i].TrimBaselineGenomes();
}
// Cleanup for next Gen:
// Reset fitness data:
// RE-Sample and Add Baseline Genomes:
teamsConfig.environmentPopulation.AppendBaselineGenomes();
teamsConfig.environmentPopulation.fitnessManager.InitializeForNewGeneration(teamsConfig.environmentPopulation.environmentGenomeList.Count);
teamsConfig.environmentPopulation.ResetRepresentativesList();
for (int i = 0; i < teamsConfig.playersList.Count; i++)
{
// RE-Sample and Add Baseline Genomes:
teamsConfig.playersList[i].AppendBaselineGenomes();
teamsConfig.playersList[i].fitnessManager.InitializeForNewGeneration(teamsConfig.playersList[i].agentGenomeList.Count);
teamsConfig.playersList[i].ResetRepresentativesList();
}
// Reset default evals + exhibition
evaluationManager.ResetForNewGeneration(teamsConfig);
gameManager.uiManager.panelTraining.moduleViewUI.SetPendingGenomesFromData(this);
}
private void NextGeneration()
{
Debug.Log("Generation " + playingCurGen.ToString() + " Complete!");
if (playingCurGen == 100)
{
}
// Crossover:
teamsConfig.environmentPopulation.fitnessManager.ProcessAndRankRawFitness(teamsConfig.environmentPopulation.popSize);
for (int i = 0; i < teamsConfig.playersList.Count; i++)
{
//Debug.Log("Player " + i.ToString());
teamsConfig.playersList[i].fitnessManager.ProcessAndRankRawFitness(teamsConfig.playersList[i].popSize);
}
Crossover();
// Cleanup for next Gen:
// Reset fitness data:
teamsConfig.environmentPopulation.fitnessManager.InitializeForNewGeneration(teamsConfig.environmentPopulation.environmentGenomeList.Count);
teamsConfig.environmentPopulation.historicGenomePool.Add(teamsConfig.environmentPopulation.environmentGenomeList[0]);
teamsConfig.environmentPopulation.ResetRepresentativesList();
for (int i = 0; i < teamsConfig.playersList.Count; i++)
{
teamsConfig.playersList[i].fitnessManager.InitializeForNewGeneration(teamsConfig.playersList[i].agentGenomeList.Count);
//teamsConfig.playersList[i].historicGenomePool.Add(teamsConfig.playersList[i].agentGenomeList[0]);
teamsConfig.playersList[i].AddNewHistoricalRepresentative(teamsConfig.playersList[i].agentGenomeList[0]);
teamsConfig.playersList[i].ResetRepresentativesList();
teamsConfig.playersList[i].trainingSettingsManager.mutationStepSize *= 0.9925f;
teamsConfig.playersList[i].trainingSettingsManager.mutationChance *= 0.9925f;
teamsConfig.playersList[i].trainingSettingsManager.newHiddenNodeChance *= 0.99f;
teamsConfig.playersList[i].trainingSettingsManager.newLinkChance *= 0.9925f;
}
evaluationManager.maxTimeStepsDefault += 4;
Mathf.Clamp(evaluationManager.maxTimeStepsDefault, 128, 4096);
// Best Performer Brain:
//teamsConfig.playersList[0].agentGenomeList[0].PrintBrainGenome();
// Reset default evals + exhibition
evaluationManager.ResetForNewGeneration(teamsConfig);
playingCurGen++;
}
