0	Namespace(device='0', env='BO', training_episode=5001, T=100, domain_size=1000, f_num=2, hidden_size=128, lr=1e-05, n_batch=1, weight_decay=1e-05, update_freq=1, target_update_freq=5, batch_size=16, n_layer=4, n_head=4, n_positions=31, warmup_steps=1, gamma=0.99, seed=1, function_type='train', model_episode=0, optimizer='adam', dropout=0.1, epsilon=0.1, sample_rate=0.01, demo_rate=0.01, buffer_size=128, new_reward=1, perturb_noise_level=0.01, observation_noise_level=0.01, update_step=10, initial_sample=1, temperature=1000, domain_dim=2, online_ls=1, ls_learned_freq=10, demo_time=0, demo_policy='qNEHVI')
1	Namespace(device='1', env='BO', training_episode=5001, T=100, domain_size=1000, f_num=2, hidden_size=128, lr=1e-05, n_batch=1, weight_decay=1e-05, update_freq=1, target_update_freq=5, batch_size=16, n_layer=4, n_head=4, n_positions=31, warmup_steps=1, gamma=0.95, seed=1, function_type='train', model_episode=0, optimizer='adam', dropout=0.1, epsilon=0.1, sample_rate=0.01, demo_rate=0.01, buffer_size=128, new_reward=1, perturb_noise_level=0.01, observation_noise_level=0.01, update_step=10, initial_sample=1, temperature=1000, domain_dim=2, online_ls=1, ls_learned_freq=10, demo_time=0, demo_policy='qNEHVI')
2	Namespace(device='2', env='BO', training_episode=5001, T=100, domain_size=1000, f_num=2, hidden_size=128, lr=1e-05, n_batch=1, weight_decay=1e-05, update_freq=1, target_update_freq=5, batch_size=16, n_layer=4, n_head=4, n_positions=301, warmup_steps=1, gamma=0.99, seed=1, function_type='train', model_episode=0, optimizer='adam', dropout=0.1, epsilon=0.1, sample_rate=0.01, demo_rate=0.01, buffer_size=128, new_reward=1, perturb_noise_level=0.01, observation_noise_level=0.01, update_step=10, initial_sample=1, temperature=1000, domain_dim=2, online_ls=1, ls_learned_freq=10, demo_time=0, demo_policy='qNEHVI')
3	Namespace(device='3', env='BO', training_episode=5001, T=100, domain_size=1000, f_num=2, hidden_size=128, lr=1e-05, n_batch=1, weight_decay=1e-05, update_freq=1, target_update_freq=5, batch_size=16, n_layer=4, n_head=4, n_positions=301, warmup_steps=1, gamma=0.95, seed=1, function_type='train', model_episode=0, optimizer='adam', dropout=0.1, epsilon=0.1, sample_rate=0.01, demo_rate=0.01, buffer_size=128, new_reward=1, perturb_noise_level=0.01, observation_noise_level=0.01, update_step=10, initial_sample=1, temperature=1000, domain_dim=2, online_ls=1, ls_learned_freq=10, demo_time=0, demo_policy='qNEHVI')
4	Namespace(device='1', env='BO', training_episode=5001, T=100, domain_size=1000, f_num=2, hidden_size=128, lr=1e-05, n_batch=1, weight_decay=1e-05, update_freq=1, target_update_freq=5, batch_size=16, n_layer=8, n_head=4, n_positions=31, warmup_steps=1, gamma=0.95, seed=1, function_type='train', model_episode=0, optimizer='adam', dropout=0.1, epsilon=0.1, sample_rate=0.01, demo_rate=0.01, buffer_size=128, new_reward=1, perturb_noise_level=0.01, observation_noise_level=0.01, update_step=10, initial_sample=1, temperature=1000, domain_dim=2, online_ls=1, ls_learned_freq=10, demo_time=0, demo_policy='qNEHVI')
5	Namespace(device='0', env='BO', training_episode=5002, T=100, domain_size=1000, f_num=2, hidden_size=128, lr=1e-05, n_batch=1, weight_decay=1e-05, update_freq=1, target_update_freq=5, batch_size=16, n_layer=4, n_head=4, n_positions=31, warmup_steps=1, gamma=0.95, seed=1, function_type='train', model_episode=0, optimizer='adam', dropout=0.1, epsilon=0.1, sample_rate=0.01, demo_rate=0.01, buffer_size=128, new_reward=1, perturb_noise_level=0.01, observation_noise_level=0.01, update_step=10, initial_sample=1, temperature=1000, domain_dim=1, online_ls=1, ls_learned_freq=10, demo_time=0, demo_policy='qNEHVI')
