写一个c语言强化学习算法的代码

我可以回答这个问题。以下是一个简单的 c 语言强化学习算法的代码示例：

#include <stdio.h>
#include <stdlib.h>
#include <time.h>

#define NUM_STATES 10
#define NUM_ACTIONS 2
#define ALPHA .1
#define GAMMA .9
#define EPSILON .1
#define MAX_EPISODES 100

int choose_action(int state, float q_table[NUM_STATES][NUM_ACTIONS]) {
int action;
if ((float) rand() / RAND_MAX < EPSILON) {
action = rand() % NUM_ACTIONS;
} else {
action = q_table[state][] > q_table[state][1] ? : 1;
}
return action;
}

int get_reward(int state, int action) {
int reward;
if (state == NUM_STATES - 1 && action == 1) {
reward = 1;
} else {
reward = ;
}
return reward;
}

int get_next_state(int state, int action) {
int next_state;
if (state == NUM_STATES - 1 && action == 1) {
next_state = -1;
} else {
next_state = state + action * 2 - 1;
}
return next_state;
}

void update_q_table(int state, int action, int next_state, float q_table[NUM_STATES][NUM_ACTIONS]) {
float max_q_next_state = q_table[next_state][] > q_table[next_state][1] ? q_table[next_state][] : q_table[next_state][1];
q_table[state][action] += ALPHA * (get_reward(state, action) + GAMMA * max_q_next_state - q_table[state][action]);
}

int main() {
srand(time(NULL));
float q_table[NUM_STATES][NUM_ACTIONS] = {};
for (int episode = ; episode < MAX_EPISODES; episode++) {
int state = ;
int action = choose_action(state, q_table);
while (state != -1) {
int next_state = get_next_state(state, action);
int next_action = choose_action(next_state, q_table);
update_q_table(state, action, next_state, q_table);
state = next_state;
action = next_action;
}
}
for (int i = ; i < NUM_STATES; i++) {
printf("State %d: Action Q-value = %f, Action 1 Q-value = %f\n", i, q_table[i][], q_table[i][1]);
}
return ;
}