Advanced AI

#include <iostream>
#include <cstdlib>
#include <ctime>

using namespace std;

const int NUM_ACTIONS = 3;
const int NUM_STATES = 8;

enum Action { ATTACK, DEFEND, HEAL };

// Get current health and enemy health
int getMyHealth() {
  // Return a random value between 0 and 100
  return rand() % 101;
}

int getEnemyHealth() {
  // Return a random value between 0 and 100
  return rand() % 101;
}

// Perform an action
void doAction(Action action) {
  switch (action) {
    case ATTACK:
      cout << "Attacking!" << endl;
      break;
    case DEFEND:
      cout << "Defending!" << endl;
      break;
    case HEAL:
      cout << "Healing!" << endl;
      break;
  }
}

// Get the best action based on the current state
Action getBestAction(int state) {
  // Initialize the action values to zero
  float actionValues[NUM_ACTIONS] = { 0.0f, 0.0f, 0.0f };

  // Loop through all actions
  for (int action = 0; action < NUM_ACTIONS; action++) {
    // Loop through all states
    for (int nextState = 0; nextState < NUM_STATES; nextState++) {
      // Get the reward for this state-action pair
      float reward = getReward(state, action, nextState);

      // Update the action value
      actionValues[action] += reward;
    }
  }

  // Find the action with the highest value
  int bestAction = 0;
  for (int i = 1; i < NUM_ACTIONS; i++) {
    if (actionValues[i] > actionValues[bestAction]) {
      bestAction = i;
    }
  }

  // Return the best action
  return (Action)bestAction;
}

int main() {
  // Seed the random number generator
  srand(time(0));

  // Initialize the state
  int state = 0;

  // Loop until the game is over
  while (!gameOver) {
    // Get the best action for the current state
    Action action = getBestAction(state);

    // Perform the action
    doAction(action);

    // Update the state
    state = getNextState(state, action);
  }

  return 0;
}