use of ga.SimpleRMHC in project SimpleAsteroids by ljialin.
the class SpaceBattleLinkTestTwoPlayer method runTrial.
public static double runTrial(boolean runVisible) {
// make an agent to test
// StateObservation stateObs = new SimpleMaxGame();
// BattleGameSearchSpace.inject(BattleGameSearchSpace.getRandomPoint());
// SampleEvolvedParams.solutions[1][2] = 5;
// SampleEvolvedParams.solutions[5][4] = 0;
// BattleGameSearchSpace.inject(SampleEvolvedParams.solutions[2]);
// BattleGameSearchSpace.inject(SampleEvolvedParams.solutions[2]);
// BattleGameSearchSpace.inject(SampleEvolvedParams.solutions[1]);
System.out.println("Params are:");
System.out.println(BattleGameParameters.params);
// can also override parameters by setting them directly as follows:
BattleGameParameters.loss = 0.996;
BattleGameParameters.thrust = 3;
// BattleGameParameters.shipSize *= 2;
// BattleGameParameters.damageRadius *= 2;
SpaceBattleLinkStateTwoPlayer linkState = new SpaceBattleLinkStateTwoPlayer();
StateObservationMulti multi = linkState;
GameActionSpaceAdapterMulti.useHeuristic = false;
// DefaultMutator.totalRandomChaosMutation = false;
// // supercl
// StateObservation stateObs = linkState;
ElapsedCpuTimer timer = new ElapsedCpuTimer();
AbstractMultiPlayer player1, player2;
// controllers.singlePlayer.sampleOLMCTS.Agent olmcts =
// new controllers.singlePlayer.sampleOLMCTS.Agent(linkState, timer);
int idPlayer1 = 0;
int idPlayer2 = 1;
player2 = new controllers.multiPlayer.discountOLMCTS.Agent(linkState, timer, idPlayer2);
// try the evolutionary players
int nResamples = 2;
EvoAlg evoAlg = new SimpleRMHC(nResamples);
double kExplore = 10;
int nNeighbours = 100;
int nEvals = 500;
evoAlg = new NTupleBanditEA(kExplore, nNeighbours);
// evoAlg = new CompactSlidingModelGA().setHistoryLength(20);
evoAlg = new SlidingMeanEDA().setHistoryLength(20);
EvoAlg evoAlg2 = new CompactSlidingModelGA().setHistoryLength(2);
player1 = new controllers.multiPlayer.ea.Agent(linkState, timer, evoAlg, idPlayer1, nEvals);
// player2 = new controllers.multiPlayer.ea.Agent(linkState, timer, evoAlg2, idPlayer2, nEvals);
// player2 = new controllers.multiPlayer.ea.Agent(linkState, timer, new SimpleRMHC(nResamples), idPlayer2, nEvals);
// player1 = new controllers.multiPlayer.smlrand.Agent();
// EvoAlg evoAlg2 = new SimpleRMHC(2);
// player1 = new controllers.multiPlayer.ea.Agent(linkState, timer, evoAlg2, idPlayer1, nEvals);
// in milliseconds
int thinkingTime = 50;
int delay = 10;
// player = new controllers.singlePlayer.sampleRandom.Agent(stateObs, timer);
// check that we can play the game
Random random = new Random();
int nSteps = 500;
ElapsedTimer t = new ElapsedTimer();
BattleView view = new BattleView(linkState.state.copyState());
// set view to null to run fast with no visuals
if (!runVisible)
view = null;
if (view != null) {
new JEasyFrame(view, "Simple Battle Game");
}
StatSummary sst1 = new StatSummary("Player 1 Elapsed Time");
StatSummary sst2 = new StatSummary("Player 2 Elapsed Time");
StatSummary ssTicks1 = new StatSummary("Player 1 nTicks");
StatSummary ssTicks2 = new StatSummary("Player 2 nTicks");
for (int i = 0; i < nSteps && !linkState.isGameOver(); i++) {
linkState.state = linkState.state.copyState();
timer = new ElapsedCpuTimer();
timer.setMaxTimeMillis(thinkingTime);
ElapsedTimer t1 = new ElapsedTimer();
// keep track of the number of game ticks used by each algorithm
int ticks;
ticks = SpaceBattleLinkStateTwoPlayer.nTicks;
Types.ACTIONS action1 = player1.act(multi.copy(), timer);
sst1.add(t1.elapsed());
ticks = SpaceBattleLinkStateTwoPlayer.nTicks - ticks;
ssTicks1.add(ticks);
// System.out.println("Player 1 Ticks = " + ticks);
ElapsedTimer t2 = new ElapsedTimer();
ticks = SpaceBattleLinkStateTwoPlayer.nTicks;
Types.ACTIONS action2 = player2.act(multi.copy(), timer);
sst2.add(t2.elapsed());
ticks = SpaceBattleLinkStateTwoPlayer.nTicks - ticks;
ssTicks2.add(ticks);
// System.out.println("Player 2 Ticks = " + ticks);
multi.advance(new Types.ACTIONS[] { action1, action2 });
if (view != null) {
view.game = linkState.state.copyState();
view.setRolls(0, evoAlg);
view.setRolls(1, evoAlg2);
view.repaint();
try {
Thread.sleep(delay);
} catch (Exception e) {
}
}
// System.out.println(multi.getGameScore());
}
System.out.println(multi.getGameScore());
System.out.println(multi.isGameOver());
// System.out.println(SingleTreeNode.rollOutScores);
System.out.println(sst1);
System.out.println(sst2);
System.out.println(ssTicks1);
System.out.println(ssTicks2);
return multi.getGameScore(0);
}
use of ga.SimpleRMHC in project SimpleAsteroids by ljialin.
the class TestDiffGame method runTrial.
public static double runTrial(boolean runVisible) {
// make an agent to test
DiffGame.nValues = 21;
DiffGame.minscore = 0;
StateObservationMulti stateObs = new DiffGame();
DefaultMutator.totalRandomChaosMutation = false;
ElapsedCpuTimer timer = new ElapsedCpuTimer();
AbstractMultiPlayer player1, player2;
int idPlayer1 = 0;
int idPlayer2 = 1;
// try the evolutionary players
int nResamples = 10;
EvoAlg evoAlg = new SimpleRMHC(nResamples);
EvoAlg evoAlg2 = new SimpleRMHC(nResamples);
double kExplore = 2;
int nNeighbours = 50;
int nEvals = 1500;
// evoAlg = new NTupleBanditEA(kExplore, nNeighbours);
controllers.multiPlayer.ea.Agent agentEAShift = new controllers.multiPlayer.ea.Agent(stateObs, timer, evoAlg, idPlayer1, nEvals);
agentEAShift.useShiftBuffer = true;
agentEAShift.sequenceLength = 5;
player1 = agentEAShift;
controllers.multiPlayer.ea.Agent agentEANoShift = new controllers.multiPlayer.ea.Agent(stateObs, timer, evoAlg2, idPlayer2, nEvals);
agentEANoShift.useShiftBuffer = true;
agentEANoShift.sequenceLength = 25;
player2 = agentEANoShift;
// player2 = new controllers.multiPlayer.discountOLMCTS.Agent(stateObs, timer, idPlayer2);
// player2 = new controllers.multiPlayer.doNothing.Agent(stateObs, timer, idPlayer2);
// player2 = new controllers.multiPlayer.sampleRandom.Agent(stateObs, timer, idPlayer2);
// player1 = new controllers.multiPlayer.smlrand.Agent();
// EvoAlg evoAlg2 = new SimpleRMHC(1);
// player1 = new controllers.multiPlayer.ea.Agent(linkState, timer, evoAlg2, idPlayer1, nEvals / 5);
// in milliseconds
int thinkingTime = 50;
int delay = 10;
// player = new controllers.singlePlayer.sampleRandom.Agent(stateObs, timer);
// check that we can play the game
Random random = new Random();
int nSteps = 50;
StatSummary sst1 = new StatSummary("Player 1 Elapsed Time");
StatSummary sst2 = new StatSummary("Player 2 Elapsed Time");
StatSummary ssTicks1 = new StatSummary("Player 1 nTicks");
StatSummary ssTicks2 = new StatSummary("Player 2 nTicks");
for (int i = 0; i < nSteps && !stateObs.isGameOver(); i++) {
timer = new ElapsedCpuTimer();
timer.setMaxTimeMillis(thinkingTime);
ElapsedTimer t1 = new ElapsedTimer();
// keep track of the number of game ticks used by each algorithm
int ticks;
ticks = DiffGame.nTicks;
Types.ACTIONS action1 = player1.act(stateObs.copy(), timer);
sst1.add(t1.elapsed());
ticks = DiffGame.nTicks - ticks;
ssTicks1.add(ticks);
System.out.println("Player 1 Ticks = " + ticks);
ElapsedTimer t2 = new ElapsedTimer();
ticks = DiffGame.nTicks;
Types.ACTIONS action2 = player2.act(stateObs.copy(), timer);
sst2.add(t2.elapsed());
ticks = DiffGame.nTicks - ticks;
ssTicks2.add(ticks);
stateObs.advance(new Types.ACTIONS[] { action1, action2 });
// System.out.println(multi.getGameScore());
System.out.println(stateObs);
}
System.out.println(stateObs.getGameScore());
System.out.println(stateObs.isGameOver());
// System.out.println(SingleTreeNode.rollOutScores);
System.out.println(sst1);
System.out.println(sst2);
System.out.println(ssTicks1);
System.out.println(ssTicks2);
return stateObs.getGameScore(0);
}
use of ga.SimpleRMHC in project SimpleAsteroids by ljialin.
the class EvoNTupleTest method main.
public static void main(String[] args) {
// the number of bandits is equal to the size of the array
int nDims = 5;
int nTrials = 50;
int nFitnessEvals = 10000;
EvoAlg ea = new MBanditEA();
ea = new SimpleRMHC();
SolutionEvaluator evaluator = new TenFitnessEval(nDims);
System.out.println("Best fitness stats:");
System.out.println(runTrials(ea, evaluator, nTrials, nFitnessEvals));
// evaluator.
}
use of ga.SimpleRMHC in project SimpleAsteroids by ljialin.
the class EvolveMarioLevelTest method main.
public static void main(String[] args) throws Exception {
int[][] level = getAndShowLevel(true);
int nTrials = 1;
SimpleRMHC simpleRMHC = new SimpleRMHC();
DefaultMutator mutator = new DefaultMutator(null);
mutator.flipAtLeastOneValue = true;
mutator.pointProb = 2;
mutator.setSwap(true);
simpleRMHC.setMutator(mutator);
// EvoAlg evoAlg = simpleRMHC;
// evoAlg = new SlidingMeanEDA().setHistoryLength(30);
// evoAlg = new CompactSlidingGA();
int nEvals = 20000;
StatSummary results = new StatSummary();
EvolveMarioLevelTest evolver = new EvolveMarioLevelTest();
for (int i = 0; i < nTrials; i++) {
ElapsedTimer timer = new ElapsedTimer();
results.add(evolver.runTrial(simpleRMHC, nEvals, level));
System.out.println(timer);
}
}
use of ga.SimpleRMHC in project SimpleAsteroids by ljialin.
the class DiffGameViewTest method main.
public static void main(String[] args) throws Exception {
// stop the game ending
DiffGame.maxTick = 1000000;
DiffGame dg = new DiffGame();
AbstractMultiPlayer player1, player2;
ElapsedCpuTimer timer = new ElapsedCpuTimer();
player1 = new controllers.multiPlayer.sampleRandom.Agent(dg, timer, 0);
player2 = new controllers.multiPlayer.sampleRandom.Agent(dg, timer, 1);
int idPlayer1 = 0;
int idPlayer2 = 1;
// try the evolutionary players
int nResamples = 3;
EvoAlg evoAlg = new SimpleRMHC(nResamples);
EvoAlg evoAlg2 = new SimpleRMHC(nResamples);
double kExplore = 2;
int nNeighbours = 50;
int nEvals = 15000;
// evoAlg = new NTupleBanditEA(kExplore, nNeighbours);
controllers.multiPlayer.ea.Agent agentEAShift = new controllers.multiPlayer.ea.Agent(dg, timer, evoAlg, idPlayer1, nEvals);
agentEAShift.useShiftBuffer = true;
agentEAShift.sequenceLength = 10;
player1 = agentEAShift;
// player2 = new controllers.multiPlayer.discountOLMCTS.Agent(dg, timer, idPlayer2);
// player2 = new controllers.multiPlayer.sampleOLMCTS.Agent(dg, timer, idPlayer2);
controllers.multiPlayer.ea.Agent agentEANoShift = new controllers.multiPlayer.ea.Agent(dg, timer, evoAlg2, idPlayer1, nEvals);
agentEANoShift.useShiftBuffer = true;
agentEANoShift.sequenceLength = 10;
player1 = agentEANoShift;
int nTicks = 250;
int delay = 100;
int updateTick = 1;
DiffGameView view = new DiffGameView(dg);
JEasyFrame frame = new JEasyFrame(view, "Diff Game");
KeyPlayer keyPlayer = new KeyPlayer(view);
frame.addKeyListener(keyPlayer.controller);
// player1 = keyPlayer;
player2 = new ConstantPlayer(2);
Types.ACTIONS[] actions = new Types.ACTIONS[2];
for (int i = 0; i < nTicks; i++) {
// update the chosen actions every so often
if (i % updateTick == 0) {
actions[0] = player1.act(dg.copy(), timer);
actions[1] = player2.act(dg.copy(), timer);
}
// advance anyway
dg.advance(actions);
view.update(dg);
Thread.sleep(delay);
}
System.out.println(dg.getGameScore());
}
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