int main(int argc, char* argv[]) {
if (argc != 3) {
printf("%s config-file node_id\n", argv[0]);
exit(EXIT_FAILURE);
}
Config *conf = parse_conf(argv[1]);
struct application *app = malloc(sizeof(struct application));
app->server_id = atoi(argv[2]);
app->sock = create_socket();
app->conf = conf;
LearnerCtx *learner_ctx = make_learner(conf);
set_app_ctx(learner_ctx, app);
register_deliver_cb(learner_ctx, deliver);
event_base_dispatch(learner_ctx->base);
free_learner(learner_ctx);
free(conf);
free(app);
return (EXIT_SUCCESS);
}
/*
* Initialize AI.
*/
static void ai_initialize(game *g, int who)
{
char fname[1024], buf[1024];
/* Create neural net */
make_learner(&learner[who], NET_INPUT, HIDDEN_NODES, 2);
/* Set learning rate */
learner[who].alpha = 0.0001;
/* learner[who].alpha = 0.0; printf("WARNING: alpha is 0\n"); */
/* Create network filename */
sprintf(fname, DATADIR "/networks/bluemoon.net.%s.%s",
g->p[who].p_ptr->name,
g->p[!who].p_ptr->name);
/* Attempt to load net weights from disk */
if (load_net(&learner[who], fname))
{
/* Create warning message */
sprintf(buf,
_("WARNING: Couldn't open %s, expect random play!\n"),
fname);
/* Send message */
message_add(buf);
}
/* Evaluate starting position */
eval_game(g, who);
/* Message */
if (verbose >= 1)
{
/* Print win probabilities of starting state */
printf("%s Start prob: %f %f\n", g->p[who].p_ptr->name,
learner[who].win_prob[0],
learner[who].win_prob[1]);
}
}
