python train.py --checkpoint checkpoints/mazes/feedforward_paper --epochs 200 --lr 0.0001 --lr_decay step --lr_factor 0.1 --lr_schedule 175 --max_iters 30 --min_k 1 --min_n 0 --model feedforward_net_2d --optimizer adam --output results/mazes/ff_expt --problem mazes --test_batch_size 25 --test_data 33 --test_iterations 30 --test_mode default --train_batch_size 50 --train_data 9 --train_log mi30_tmprogressive_wt1.0_mk1_mn0_feedforward_net_2d_01.txt --train_mode progressive --val_period 50 --warmup_period 10 --weight_for_loss 1.0 --width 128 
python train.py --checkpoint checkpoints/mazes/feedforward_paper --epochs 200 --lr 0.0001 --lr_decay step --lr_factor 0.1 --lr_schedule 175 --max_iters 30 --min_k 1 --min_n 0 --model feedforward_net_2d --optimizer adam --output results/mazes/ff_expt --problem mazes --test_batch_size 25 --test_data 33 --test_iterations 30 --test_mode default --train_batch_size 50 --train_data 9 --train_log mi30_tmprogressive_wt1.0_mk1_mn0_feedforward_net_2d_02.txt --train_mode progressive --val_period 50 --warmup_period 10 --weight_for_loss 1.0 --width 128 
python train.py --checkpoint checkpoints/mazes/feedforward_paper --epochs 200 --lr 0.0001 --lr_decay step --lr_factor 0.1 --lr_schedule 175 --max_iters 30 --min_k 1 --min_n 0 --model feedforward_net_2d --optimizer adam --output results/mazes/ff_expt --problem mazes --test_batch_size 25 --test_data 33 --test_iterations 30 --test_mode default --train_batch_size 50 --train_data 9 --train_log mi30_tmprogressive_wt1.0_mk1_mn0_feedforward_net_2d_03.txt --train_mode progressive --val_period 50 --warmup_period 10 --weight_for_loss 1.0 --width 128 
python train.py --checkpoint checkpoints/mazes/feedforward_paper --epochs 200 --lr 0.0001 --lr_decay step --lr_factor 0.1 --lr_schedule 175 --max_iters 30 --min_k 1 --min_n 0 --model feedforward_net_2d --optimizer adam --output results/mazes/ff_expt --problem mazes --test_batch_size 25 --test_data 33 --test_iterations 30 --test_mode default --train_batch_size 50 --train_data 9 --train_log mi30_tmprogressive_wt1.0_mk1_mn0_feedforward_net_2d_04.txt --train_mode progressive --val_period 50 --warmup_period 10 --weight_for_loss 1.0 --width 128 
python train.py --checkpoint checkpoints/mazes/feedforward_paper --epochs 200 --lr 0.0001 --lr_decay step --lr_factor 0.1 --lr_schedule 175 --max_iters 30 --min_k 1 --min_n 0 --model feedforward_net_2d --optimizer adam --output results/mazes/ff_expt --problem mazes --test_batch_size 25 --test_data 33 --test_iterations 30 --test_mode default --train_batch_size 50 --train_data 9 --train_log mi30_tmprogressive_wt1.0_mk1_mn0_feedforward_net_2d_05.txt --train_mode progressive --val_period 50 --warmup_period 10 --weight_for_loss 1.0 --width 128 
