#!/bin/bash

#---------------------------------------- epsilon = [1.0, 0.3, 0.3] -------------------------------------------------------------
# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0/128_128_seed_5.json

# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0.001  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001/128_128_seed_5.json

# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0.01  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01/128_128_seed_5.json

# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0.1  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1/128_128_seed_5.json

# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 1.0  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1/128_128_seed_5.json


# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0.0001  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_0001_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_0001_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_0001_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_0001_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_0001_N_16/128_128_seed_5.json

# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0.001  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_16/128_128_seed_5.json

# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0.01  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_01_N_16/128_128_seed_5.json

# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0.1  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_1_N_16/128_128_seed_5.json

# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 1.0  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_1_N_16/128_128_seed_5.json


# epsilon = [1.0, 0.3, 0.3]  regularization_strength = 0.001  noise_num = 64
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_64/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_64/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_64/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_64/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_1_reg_0_001_N_64/128_128_seed_5.json

#---------------------------------------- epsilon = [5.0, 1.5, 1.5] -------------------------------------------------------------
# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 0  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0/128_128_seed_5.json

# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 0.001  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001/128_128_seed_5.json

# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 0.01  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01/128_128_seed_5.json

# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 0.1  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1/128_128_seed_5.json

# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 1.0  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1/128_128_seed_5.json


# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 0.001  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_001_N_16/128_128_seed_5.json

# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 0.01  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_01_N_16/128_128_seed_5.json

# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 0.1  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_0_1_N_16/128_128_seed_5.json

# epsilon = [5.0, 1.5, 1.5]  regularization_strength = 1.0  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_0_5_reg_1_N_16/128_128_seed_5.json


#---------------------------------------- epsilon = [10.0, 3.0, 3.0] -------------------------------------------------------------
# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 0  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0/128_128_seed_5.json

# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 0.001  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001/128_128_seed_5.json

# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 0.01  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01/128_128_seed_5.json

# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 0.1  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1/128_128_seed_5.json

# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 1.0  noise_num = 1
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1/128_128_seed_5.json


# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 0.001  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_001_N_16/128_128_seed_5.json

# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 0.01  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_01_N_16/128_128_seed_5.json

# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 0.1  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_0_1_N_16/128_128_seed_5.json

# epsilon = [10.0, 3.0, 3.0]  regularization_strength = 1.0  noise_num = 16
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1_N_16/128_128_seed_1.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1_N_16/128_128_seed_2.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1_N_16/128_128_seed_3.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1_N_16/128_128_seed_4.json
python train_scripts/msr/train/train_sac.py --config-file-name configs/train/msr/her/medium2/epsilon_1_reg_1_N_16/128_128_seed_5.json
