use-transfer path error

[impulsecorp]

The supervised pre-training part works fine on my Ubuntu 16.04 server at
/home/ubuntu/newrl/DeepRL/
python3 pretrain/run_experiment.py --gym-env=MsPacmanNoFrameskip-v4 --cpu-only --classify-demo --use-mnih-2015 --train-max-steps=10000 --batch-size=32 --grad-norm-clip=0.5 --demo-ids=1,2,3,4,5,6,7,8

but when I then try to use the pre-trained network in A3C-TB like:
/home/ubuntu/newrl/DeepRL/
python3 a3c/run_experiment.py --gym-env=MsPacmanNoFrameskip-v4 --parallel-size=1 --max-time-step-fraction=1.0 --initial-learn-rate=0.0007 --rmsp-epsilon=1e-5 --grad-norm-clip=0.5 --use-mnih-2015 --unclipped-reward --transformed-bellman --use-transfer --append-experiment-num=1

it gives this error:

Traceback (most recent call last):
File "a3c/run_experiment.py", line 159, in
main()
File "a3c/run_experiment.py", line 155, in main
run_a3c(args)
File "/home/ubuntu/newrl/DeepRL/a3c/a3c.py", line 410, in run_a3c
var_list=transfer_var_list,
File "/home/ubuntu/newrl/DeepRL/a3c/game_ac_network.py", line 245, in load_transfer_model
assert folder.is_dir()
AssertionError

I know the "--use-transfer" is supposed to automatically find the pretrained model, but since that did not work I also tried adding a path for it at the end of the command like this but it gave the same error::
python3 a3c/run_experiment.py --gym-env=MsPacmanNoFrameskip-v4 --parallel-size=1 --max-time-step-fraction=1.0 --initial-learn-rate=0.0007 --rmsp-epsilon=1e-5 --grad-norm-clip=0.5 --use-mnih-2015 --unclipped-reward --transformed-bellman --use-transfer --append-experiment-num=1 --pretrained-model-folder='/home/ubuntu/newrl/DeepRL/results/pretrain_models/MsPacmanNoFrameskip_v4_mnih2015_l2beta1E-04_clipnorm5E-01/transfer_model/'

[gabrieledcjr]

when using --use-transfer, it automatically finds the pretrained model for a very specific pretrained model. Also, it might be confusing, but you should use --transfer-folder instead of --pre-trained-model-folder. The pretrained-model-folder is used for something else.

So use --transfer-folder and I suggest specifying the path as you did. In the path, don't include /transfer_model folder as it is automatically appended. And you don't need the single quotes. So in your case, it should be

python3 a3c/run_experiment.py --gym-env=MsPacmanNoFrameskip-v4 --parallel-size=1 --max-time-step-fraction=1.0 --initial-learn-rate=0.0007 --rmsp-epsilon=1e-5 --grad-norm-clip=0.5 --use-mnih-2015 --unclipped-reward --transformed-bellman --use-transfer --append-experiment-num=1 --transfer-folder=/home/ubuntu/newrl/DeepRL/results/pretrain_models/MsPacmanNoFrameskip_v4_mnih2015_l2beta1E-04_clipnorm5E-01

[impulsecorp]

Yes, that worked, thanks.