@Override
public String toString() {
String s =
"alpha="
+ brain.getAlpha()
+ " gamma="
+ brain.getGamma()
+ "\nlambda="
+ brain.getLambda()
+ " rand="
+ brain.getRandActions()
+ "\nunip="
+ isUnipolar()
+ "\n";
TreeMap<Integer, WeaponScore> newRanking = new TreeMap<Integer, WeaponScore>();
for (Map.Entry<Integer, WeaponScore> e : weaponRanking.entrySet()) {
newRanking.put(e.getKey(), e.getValue());
}
weaponRanking = newRanking;
for (Map.Entry<Integer, WeaponScore> e : weaponRanking.entrySet()) {
s += "\n" + CommFun.getGunName(e.getKey()) + " : " + e.getValue().getScore();
}
return s;
}
public RLCombatModule(RLBot bot) {
this.bot = bot;
brain = new Brain(this, actions);
brain.setAlpha(0.8); // learning rate
brain.setGamma(0.3); // discounting rate
brain.setLambda(0.6); // trace forgetting
// b.setUseBoltzmann(true);
// b.setTemperature(0.001);
brain.setRandActions(0.1); // exploration
// brain.setAlpha(getRandParam(0.1, 0.8, 0.1)); //learning rate
// brain.setGamma(getRandParam(0, 0.9, 0.2)); //discounting rate
// brain.setLambda(getRandParam(0, 0.9, 0.2)); //trace forgetting
//// b.setUseBoltzmann(true);
//// b.setTemperature(0.001);
// brain.setRandActions(getRandParam(0.01, 0.4, 0.1)); //exploration
// unipolar = Rand.b();
for (int i = 7; i < 18; i++) {
weaponRanking.put(i, new WeaponScore(0.5, 1));
}
}
/**
* Returns the firing instructions
*
* @param fd firing decision
* @param bot the bot
* @return
*/
public FiringInstructions getFiringInstructions(FiringDecision fd) {
if (fd == null || fd.enemyInfo == null) {
return null;
}
updateRewards();
boolean reloading = bot.getWorld().getPlayer().getPlayerGun().isCoolingDown();
Vector3f noFiringLook =
fd.enemyInfo.predictedPos == null
? fd.enemyInfo.getObjectPosition()
: fd.enemyInfo.predictedPos;
if (reloading) {
return getNoFiringInstructions(noFiringLook);
}
shootings.add(
new Shooting(
bot.getFrameNumber(),
bot.getFrameNumber()
+ (long)
getTimeToHit(
bot.cConfig.getBulletSpeedForGivenGun(bot.getCurrentWeaponIndex()),
bot.getBotPosition(),
fd.enemyInfo.getObjectPosition(),
fd.enemyInfo.predictedPos),
fd.enemyInfo.ent.getName()));
if (shootings.size() > maxShootingsCount) {
shootings.removeFirst();
}
if (actionEndFrame == -1) {
// first time
}
if (bot.getFrameNumber() >= actionEndFrame) {
actionEndFrame = bot.getFrameNumber() + actionTime;
// count rewards:
bot.rewardsCount++;
if (actionReward <= 1 && actionReward >= -1) {
bot.totalReward += actionReward;
} else {
bot.totalReward += (actionReward > 0) ? 1 : -1;
System.out.println("excessive reward! " + actionReward);
}
int rc = 1;
double rwd = actionReward;
int cwpi = bot.getCurrentWeaponIndex();
if (weaponRanking.get(cwpi) != null) {
rc = weaponRanking.get(cwpi).rewardsCount + 1;
rwd = weaponRanking.get(cwpi).rewardsTotal + actionReward;
}
weaponRanking.put(cwpi, new WeaponScore(rwd, rc));
BotStatistic.getInstance().addReward(bot.getBotName(), actionReward, bot.getFrameNumber());
// Dbg.prn(bot.getBotName()+"@"+bot.getFrameNumber()+" r="+actionReward);
// choose new action and execute it
perceive();
brain.count();
executeAction(actions[brain.getAction()]);
actionReward = 0;
}
// return getFiringInstructionsAtHitpoint(fd, 1);
// return getNewPredictingFiringInstructions(bot, fd,
// bot.cConfig.getBulletSpeedForGivenGun(bot.getCurrentWeaponIndex()));
switch (actionFireMode) {
case Action.FIRE:
return getFastFiringInstructions(fd, bot);
case Action.FIRE_PREDICTED:
return getNewPredictingFiringInstructions(
bot, fd, bot.cConfig.getBulletSpeedForGivenGun(bot.getCurrentWeaponIndex()));
default:
case Action.NO_FIRE:
return getNoFiringInstructions(noFiringLook);
}
}