def run_submission(cfg, output, nr):
player = get_player(dumpdir=output)
predfunc = get_predict_func(cfg)
for k in range(nr):
if k != 0:
player.restart_episode()
score = play_one_episode(player, predfunc) #, task='save_image')
print("Total:", score)
def run_submission(cfg):
dirname = 'gym-submit'
player = get_player(dumpdir=dirname)
predfunc = get_predict_func(cfg)
for k in range(100):
if k != 0:
player.restart_episode()
score = play_one_episode(player, predfunc)
print("Total:", score)
def run_submission(cfg, output, nr):
player = get_player(dumpdir=output)
predfunc = OfflinePredictor(cfg)
logger.info("Start evaluation: ")
for k in range(nr):
if k != 0:
player.restart_episode()
score = play_one_episode(player, predfunc)
print("Score:", score)
def run_submission(cfg, output, nr):
player = get_player(dumpdir=output)
predfunc = OfflinePredictor(cfg)
logger.info("Start evaluation: ")
for k in range(nr):
if k != 0:
player.restart_episode()
score = play_one_episode(player, predfunc)
print("Score:", score)
def run_submission(cfg, output, nr):
player = get_player(dumpdir=output)
predfunc = get_predict_func(cfg)
for k in range(nr):
if k != 0:
player.restart_episode()
score = play_one_episode(player, predfunc, verbose=False)
print("Total:", score)
player.finish()
def run_submission(cfg, dump_dir='gym-submit'):
dirname = dump_dir
player = get_player(dumpdir=dirname)
# player = get_player("/home/piotr.milos")
predfunc = get_predict_func(cfg)
for k in range(10):
if k != 0:
player.restart_episode()
score = play_one_episode(player, predfunc)
print("Total:", score)
def run_submission(cfg, output, nr):
player, playerenv = get_player(dumpdir=output)
predfunc = get_predict_func(cfg)
logger.info("Start evaluation: ")
for k in range(nr):
if k != 0:
player.restart_episode()
score = play_one_episode(player, predfunc)
print("The {0:d}th episodes, Total:".format(k), score)
playerenv.gymenv.monitor.close()
def play(self, num_episodes, env, record=False, seed=None, tst=False):
load = None
if record:
load = self.save
self.player = self.get_player(dumpdir=load, seed=seed)
if not record:
self.predfunc = get_predict_func(self.cfg)
if tst:
self.predfunc = get_predict_func(self.cfg)
rewards = []
if seed is not None:
print('set seed', seed)
self.player.player.player.gymenv.seed(seed)
# logger.info("Start evaluation: ")
for k in range(num_episodes):
if k != 0:
self.player.restart_episode()
score = play_one_episode(self.player, self.predfunc)
print(env + ' TP, score: ', score)
rewards.append(score)
return sum(rewards) / float(len(rewards))
