print('FINAL SCORE: ' + str(score))
print("END BOHB ITERATION")
print('----------------------------')
return {"loss": score, "info": info}
if __name__ == "__main__":
x = datetime.datetime.now()
# run_id = 'bohb_params_td3_icm_hc_max_reward_' + x.strftime("%Y-%m-%d-%H")
run_id = 'bohb_params_td3_icm_cmc_max_reward_' + x.strftime("%Y-%m-%d-%H")
if len(sys.argv) > 1:
for arg in sys.argv[1:]:
print(arg)
random.seed(int(sys.argv[1]) + int(time.time()))
np.random.seed(int(sys.argv[1]) + int(time.time()))
torch.manual_seed(int(sys.argv[1]) + int(time.time()))
torch.cuda.manual_seed_all(int(sys.argv[1]) + int(time.time()))
res = run_bohb_parallel(id=sys.argv[1],
bohb_workers=sys.argv[2],
run_id=run_id,
experiment_wrapper=ExperimentWrapper())
else:
random.seed(int(time.time()))
np.random.seed(int(time.time()))
torch.manual_seed(int(time.time()))
torch.cuda.manual_seed_all(int(time.time()))
res = run_bohb_serial(run_id=run_id,
experiment_wrapper=ExperimentWrapper())
print('FINAL SCORE: ' + str(score))
print('SCORE LIST: ' + str(score_list))
print("END BOHB ITERATION")
print('----------------------------')
return {"loss": score, "info": info}
if __name__ == "__main__":
x = datetime.datetime.now()
run_id = 'GTNC_evaluate_mountaincar_params_' + x.strftime("%Y-%m-%d-%H")
if len(sys.argv) > 1:
for arg in sys.argv[1:]:
print(arg)
random.seed(int(sys.argv[1]) + int(time.time()))
np.random.seed(int(sys.argv[1]) + int(time.time()))
torch.manual_seed(int(sys.argv[1]) + int(time.time()))
torch.cuda.manual_seed_all(int(sys.argv[1]) + int(time.time()))
res = run_bohb_parallel(id=int(sys.argv[1]),
bohb_workers=int(sys.argv[2]),
run_id=run_id,
experiment_wrapper=ExperimentWrapper())
else:
random.seed(int(time.time()))
np.random.seed(int(time.time()))
torch.manual_seed(int(time.time()))
torch.cuda.manual_seed_all(int(time.time()))
res = run_bohb_serial(run_id=run_id,
experiment_wrapper=ExperimentWrapper())
print('SCORE LIST: ' + str(score_list))
print("END BOHB ITERATION")
print('----------------------------')
return {
"loss": score,
"info": info
}
if __name__ == "__main__":
x = datetime.datetime.now()
id = int(sys.argv[1])
bohb_workers = int(sys.argv[2])
global reward_env_type
reward_env_type = int(sys.argv[3])
run_id = 'GTNC_evaluate_reward_cartpole_' + x.strftime("%Y-%m-%d-%H") + '_' + str(reward_env_type)
seed = id+int(time.time())
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
res = run_bohb_parallel(id=id,
bohb_workers=bohb_workers,
run_id=run_id,
experiment_wrapper=ExperimentWrapper())
