Examples with Agent controllers.singlePlayer.ea.Agent used on opensource projects

Example 1 with Agent

use of controllers.singlePlayer.ea.Agent in project SimpleAsteroids by ljialin.

the class SimpleMaxNTest method runOnce.

public static double runOnce() {
    // make an agent to test
    StateObservation noiseFree = new SimpleMaxGame();
    // new NoisyMaxGame();
    StateObservation stateObs = new SimpleMaxGame();
    System.out.println(stateObs.getGameScore());
    System.out.println(stateObs.copy().getGameScore());
    // System.exit(0);
    ElapsedCpuTimer timer = new ElapsedCpuTimer();
    AbstractPlayer player;
    controllers.singlePlayer.sampleOLMCTS.Agent olmcts = new controllers.singlePlayer.sampleOLMCTS.Agent(stateObs, timer);
    controllers.singlePlayer.discountOLMCTS.Agent discountOlmcts = new controllers.singlePlayer.discountOLMCTS.Agent(stateObs, timer);
    controllers.singlePlayer.nestedMC.Agent nestedMC = new controllers.singlePlayer.nestedMC.Agent(stateObs, timer);
    player = olmcts;
    player = discountOlmcts;
    // for the following we can pass the Evolutionary algorithm to use
    int nResamples = 2;
    EvoAlg evoAlg = new SimpleRMHC(nResamples);
    int nEvals = 1000;
    double kExplore = 10;
    int nNeighbours = 100;
    evoAlg = new NTupleBanditEA(kExplore, nNeighbours);
    // DefaultMutator.totalRandomChaosMutation = true;
    Agent.useShiftBuffer = false;
    controllers.singlePlayer.ea.Agent.SEQUENCE_LENGTH = 100;
    player = new controllers.singlePlayer.ea.Agent(stateObs, timer, evoAlg, nEvals);
    nestedMC.maxRolloutLength = 5;
    nestedMC.nestDepth = 5;
    player = nestedMC;
    // in milliseconds
    int thinkingTime = 50;
    int delay = 30;
    // player = new controllers.singlePlayer.sampleRandom.Agent(stateObs, timer);
    // check that we can play the game
    Random random = new Random();
    // this is how many steps we'll take in the actual game ...
    int nSteps = 10;
    ElapsedTimer t = new ElapsedTimer();
    for (int i = 0; i < nSteps && !stateObs.isGameOver(); i++) {
        timer = new ElapsedCpuTimer();
        timer.setMaxTimeMillis(thinkingTime);
        Types.ACTIONS action = player.act(stateObs.copy(), timer);
        // System.out.println("Selected: " + action); //  + "\t " + action.ordinal());
        stateObs.advance(action);
        noiseFree.advance(action);
    // System.out.println(stateObs.getGameScore());
    }
    System.out.println(stateObs.getGameScore());
    System.out.println(noiseFree.getGameScore());
    System.out.println(stateObs.isGameOver());
    System.out.println(t);
    return noiseFree.getGameScore();
}

Example 2 with Agent

use of controllers.singlePlayer.ea.Agent in project SimpleAsteroids by ljialin.

the class SpaceBattleLinkTest 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;
    // BattleGameSearchSpace.inject(SampleEvolvedParams.solutions[1]);
    // BattleGameSearchSpace.inject(SampleEvolvedParams.solutions[2]);
    BattleGameSearchSpace.inject(SampleEvolvedParams.solutions[1]);
    System.out.println("Params are:");
    System.out.println(BattleGameParameters.params);
    // can also overide parameters by setting them directly as follows:
    // BattleGameParameters.loss = 1.1;
    SpaceBattleLinkState linkState = new SpaceBattleLinkState();
    // set some parameters for the experiment
    GameActionSpaceAdapter.useHeuristic = false;
    Agent.useShiftBuffer = true;
    // DefaultMutator.totalRandomChaosMutation = false;
    // // supercl
    // StateObservation stateObs = linkState;
    ElapsedCpuTimer timer = new ElapsedCpuTimer();
    AbstractPlayer player;
    // controllers.singlePlayer.sampleOLMCTS.Agent olmcts =
    // new controllers.singlePlayer.sampleOLMCTS.Agent(linkState, timer);
    player = new controllers.singlePlayer.discountOLMCTS.Agent(linkState, timer);
    // try the evolutionary players
    int nResamples = 2;
    EvoAlg evoAlg = new SimpleRMHC(nResamples);
    double kExplore = 10;
    int nNeighbours = 100;
    int nEvals = 200;
    evoAlg = new NTupleBanditEA(kExplore, nNeighbours);
    // player = new controllers.singlePlayer.ea.Agent(linkState, timer, evoAlg, nEvals);
    controllers.singlePlayer.nestedMC.Agent nestedMC = new controllers.singlePlayer.nestedMC.Agent(linkState, timer);
    nestedMC.maxRolloutLength = 10;
    nestedMC.nestDepth = 2;
    player = nestedMC;
    // 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);
    // set view to null to run fast with no visuals
    if (!runVisible)
        view = null;
    if (view != null) {
        new JEasyFrame(view, "Simple Battle Game");
    }
    boolean verbose = false;
    for (int i = 0; i < nSteps && !linkState.isGameOver(); i++) {
        ArrayList<Types.ACTIONS> actions = linkState.getAvailableActions();
        timer = new ElapsedCpuTimer();
        timer.setMaxTimeMillis(thinkingTime);
        Types.ACTIONS action = player.act(linkState.copy(), timer);
        // action = actions.get(random.nextInt(actions.size()));
        if (verbose)
            // + "\t " + action.ordinal());
            System.out.println(i + "\t Selected: " + action);
        linkState.advance(action);
        if (view != null) {
            view.repaint();
            try {
                Thread.sleep(delay);
            } catch (Exception e) {
            }
        }
        if (verbose)
            System.out.println(linkState.getGameScore());
    }
    System.out.println("Game score: " + linkState.getGameScore());
    return linkState.getGameScore();
}

Example 3 with Agent

use of controllers.singlePlayer.ea.Agent in project SimpleAsteroids by ljialin.

the class AsteroidsTest method runOnce.

public static double runOnce() throws Exception {
    // make an agent to test
    // AsteroidsLinkState.defaultStartLevel = 1;
    AsteroidsLinkState stateObs = new AsteroidsLinkState();
    System.out.println(stateObs.getGameScore());
    System.out.println(stateObs.copy().getGameScore());
    ElapsedCpuTimer timer = new ElapsedCpuTimer();
    AbstractPlayer player;
    controllers.singlePlayer.sampleOLMCTS.Agent olmcts = new controllers.singlePlayer.sampleOLMCTS.Agent(stateObs, timer);
    controllers.singlePlayer.discountOLMCTS.Agent discountOlmcts = new controllers.singlePlayer.discountOLMCTS.Agent(stateObs, timer);
    controllers.singlePlayer.nestedMC.Agent nestedMC = new controllers.singlePlayer.nestedMC.Agent(stateObs, timer);
    int depth = 100;
    int ticks = 2000;
    controllers.singlePlayer.discountOLMCTS.SingleTreeNode.DEFAULT_ROLLOUT_DEPTH = depth;
    SingleTreeNode.scoreDiscountFactor = 0.999;
    SingleTreeNode.useScoreDiscount = true;
    controllers.singlePlayer.discountOLMCTS.SingleTreeNode.DEFAULT_ROLLOUT_DEPTH = depth;
    controllers.singlePlayer.discountOLMCTS.Agent.MCTS_ITERATIONS = ticks / depth;
    // player = olmcts;
    player = discountOlmcts;
    int nResamples = 1;
    EvoAlg evoAlg = new SimpleRMHC(nResamples);
    int nEvals = 20;
    double kExplore = 10;
    int nNeighbours = 100;
    // evoAlg = new NTupleBanditEA(kExplore, nNeighbours);
    // evoAlg = new SlidingMeanEDA();
    DefaultMutator.totalRandomChaosMutation = true;
    Agent.useShiftBuffer = true;
    controllers.singlePlayer.ea.Agent.SEQUENCE_LENGTH = ticks / nEvals;
    player = new controllers.singlePlayer.ea.Agent(stateObs, timer, evoAlg, nEvals);
    // player = new controllers.singlePlayer.ea.Agent(stateObs, timer);
    // nestedMC.maxRolloutLength = 5;
    // nestedMC.nestDepth = 5;
    // player = nestedMC;
    // in milliseconds
    int thinkingTime = 10;
    int delay = 20;
    // player = new controllers.singlePlayer.sampleRandom.Agent(stateObs, timer);
    // check that we can play the game
    Random random = new Random();
    // this is how many steps we'll take in the actual game ...
    int nSteps = 1000;
    ElapsedTimer t = new ElapsedTimer();
    View view = new View(stateObs.state);
    // set view to null to run fast with no visuals
    view = null;
    JEasyFrame frame;
    if (view != null) {
        frame = new JEasyFrame(view, "Asteroids");
    }
    for (int i = 0; i < nSteps && !stateObs.isGameOver(); i++) {
        timer = new ElapsedCpuTimer();
        timer.setMaxTimeMillis(thinkingTime);
        Types.ACTIONS action = player.act(stateObs.copy(), timer);
        // System.out.println("Selected: " + action); //  + "\t " + action.ordinal());
        stateObs.advance(action);
        // System.out.println(stateObs.getGameScore());
        if (view != null) {
            view.repaint();
            Thread.sleep(delay);
        }
    }
    System.out.println(stateObs.getGameScore());
    System.out.println(stateObs.isGameOver());
    System.out.println(t);
    System.out.println("Agent of type: " + player.getClass().getSimpleName());
    return stateObs.getGameScore();
}

Example 4 with Agent

use of controllers.singlePlayer.ea.Agent in project SimpleAsteroids by ljialin.

the class SimpleGridTest method runOnce.

public static double runOnce() {
    // make an agent to test
    StateObservation gridGame = new GridModel();
    System.out.println(gridGame.getGameScore());
    System.out.println(gridGame.copy().getGameScore());
    // System.exit(0);
    ElapsedCpuTimer timer = new ElapsedCpuTimer();
    AbstractPlayer player;
    controllers.singlePlayer.sampleOLMCTS.Agent olmcts = new controllers.singlePlayer.sampleOLMCTS.Agent(gridGame, timer);
    controllers.singlePlayer.discountOLMCTS.Agent discountOlmcts = new controllers.singlePlayer.discountOLMCTS.Agent(gridGame, timer);
    controllers.singlePlayer.nestedMC.Agent nestedMC = new controllers.singlePlayer.nestedMC.Agent(gridGame, timer);
    player = olmcts;
    // player = discountOlmcts;
    // for the following we can pass the Evolutionary algorithm to use
    int nResamples = 2;
    EvoAlg evoAlg = new SimpleRMHC(nResamples);
    int nEvals = 2000;
    double kExplore = 10;
    int nNeighbours = 100;
    evoAlg = new NTupleBanditEA(kExplore, nNeighbours);
    evoAlg = new SlidingMeanEDA();
    // DefaultMutator.totalRandomChaosMutation = false;
    Agent.useShiftBuffer = true;
    Agent.SEQUENCE_LENGTH = 30;
    player = new Agent(gridGame, timer, evoAlg, nEvals);
    nestedMC.maxRolloutLength = 30;
    nestedMC.nestDepth = 3;
    // player = nestedMC;
    // in milliseconds
    int thinkingTime = 50;
    int delay = 30;
    // player = new controllers.singlePlayer.sampleRandom.Agent(stateObs, timer);
    // check that we can play the game
    Random random = new Random();
    // this is how many steps we'll take in the actual game ...
    int nSteps = 30;
    ElapsedTimer t = new ElapsedTimer();
    for (int i = 0; i < nSteps && !gridGame.isGameOver(); i++) {
        timer = new ElapsedCpuTimer();
        timer.setMaxTimeMillis(thinkingTime);
        Types.ACTIONS action = player.act(gridGame.copy(), timer);
        System.out.println();
        // + "\t " + action.ordinal());
        System.out.println("Selected: " + action);
        gridGame.advance(action);
        System.out.println("Game state: " + gridGame);
        System.out.println();
    }
    System.out.println(gridGame.getGameScore());
    return gridGame.getGameScore();
}