int main(int argc, char *argv[]) {
const char* task_spec;
const reward_observation_action_terminal_t *stepResponse;
const observation_action_t *startResponse;
printf("\n\nExperiment starting up!\n");
task_spec=RL_init();
printf("RL_init called, the environment sent task spec: %s\n",task_spec);
// RL_env_message and RL_agent_message may be used to communicate with the environment
// and agent, respectively. See RL-Glue documentation for details.
// const char* responseMessage;
// responseMessage=RL_agent_message("what is your name?");
printf("\n\n----------Running a few episodes----------\n");
// Use the RL-Glue-provided RL_episode to run a few episodes of ALE.
// 0 means no limit at all.
runEpisode(10000);
runEpisode(0);
runEpisode(0);
runEpisode(0);
runEpisode(0);
RL_cleanup();
printf("\n\n----------Stepping through an episode----------\n");
// The following demonstrates how to step through an episode.
task_spec=RL_init();
// Start the episode
startResponse=RL_start();
printf("First action was: %d\n", startResponse->action->intArray[0]);
// Run one step
stepResponse=RL_step();
// Run until end of episode
while(stepResponse->terminal != 1) {
stepResponse=RL_step();
}
// Demonstrates other RL-Glue functionality.
printf("It ran for %d steps, total reward was: %f\n",RL_num_steps(), RL_return());
RL_cleanup();
return 0;
}
int startExperiment(int argc, char *argv[]) {
const char* task_spec;
const char* responseMessage;
const reward_observation_action_terminal_t *stepResponse;
const observation_action_t *startResponse;
printf("\n\nExperiment starting up!\n");
RL_agent_message("set_simulation_on");
RL_agent_message("set_play_tree");
RL_agent_message("set_save_of");
//RL_env_message("set_speed_turbo");
RL_env_message("set_game_GalaxyPatrol");
//RL_env_message("set_game_Galaga");
//RL_env_message("set_game_SuperMarioBros");
//RL_env_message("set_game_Pacman");
task_spec=RL_init();
printf("RL_init called, the environment sent task spec: %s\n",task_spec);
printf("\n\n----------Sending some sample messages----------\n");
/*Talk to the agent and environment a bit...*/
responseMessage=RL_agent_message("what is your name?");
printf("Agent responded to \"what is your name?\" with: %s\n",responseMessage);
responseMessage=RL_agent_message("If at first you don't succeed; call it version 1.0");
printf("Agent responded to \"If at first you don't succeed; call it version 1.0\" with: %s\n\n",responseMessage);
responseMessage=RL_env_message("what is your name?");
printf("Environment responded to \"what is your name?\" with: %s\n",responseMessage);
responseMessage=RL_env_message("If at first you don't succeed; call it version 1.0");
printf("Environment responded to \"If at first you don't succeed; call it version 1.0\" with: %s\n",responseMessage);
printf("\n\n----------Running a few episodes----------\n");
/*runEpisode(10);
runEpisode(10);
runEpisode(10);
runEpisode(10);
runEpisode(10);
runEpisode(10);
runEpisode(10);
runEpisode(10);
runEpisode(10);
*/
/* Remember that stepLimit of 0 means there is no limit at all!*/
while (1){
runEpisode(0);
}
RL_cleanup();
printf("\n\n----------Stepping through an episode----------\n");
/*We could also start over and do another experiment */
//task_spec=RL_init();
/*We could run one step at a time instead of one episode at a time */
/*Start the episode */
//startResponse=RL_start();
//printf("First observation and action were: %d %d\n",startResponse->observation->intArray[0],startResponse->action->intArray[0]);
/*Run one step */
//stepResponse=RL_step();
/*Run until the episode ends*/
/*while(stepResponse->terminal!=1){
stepResponse=RL_step();
if(stepResponse->terminal!=1){*/
/*Could optionally print state,action pairs */
/*printf("(%d,%d) ",stepResponse.o.intArray[0],stepResponse.a.intArray[0]);*/
/* }
} */
printf("\n\n----------Summary----------\n");
/*printf("It ran for %d steps, total reward was: %f\n",RL_num_steps(),RL_return());
RL_cleanup();*/
//system("pause");
return 0;
}
