running in docker (turn off display on screen)

Hi kuz, Thank for great code for DQN. It's very helpful to study deeply for DQN.

I'm trying to run this code in docker environment but it failed after returns below messages.

I think it happens because docker is not supporting qt library. Is that possible to turn off to display process on screen and just save images such as gif?

root@b04d950e403d:~/DeepLearning/DeepMind-Atari-Deep-Q-Learner# ./run_gpu breakout
-framework alewrap -game_path /root/DeepLearning/DeepMind-Atari-Deep-Q-Learner/roms/ -name DQN3_0_1_breakout_FULL_Y -env breakout -env_params useRGB=true -agent NeuralQLearner -agent_params lr=0.00025,ep=1,ep_end=0.1,ep_endt=replay_memory,discount=0.99,hist_len=4,learn_start=50000,replay_memory=1000000,update_freq=4,n_replay=1,network="convnet_atari3",preproc="net_downsample_2x_full_y",state_dim=7056,minibatch_size=32,rescale_r=1,ncols=1,bufferSize=512,valid_size=500,target_q=10000,clip_delta=1,min_reward=-1,max_reward=1 -steps 50000000 -eval_freq 250000 -eval_steps 125000 -prog_freq 10000 -save_freq 125000 -actrep 4 -gpu 0 -random_starts 30 -pool_frms type="max",size=2 -seed 1 -threads 4
Unable to connect X11 server (continuing with -nographics)
Torch Threads:  4
Using GPU device id:    0
Torch Seed:     1
CUTorch Seed:   1791095845

Playing:        breakout
Creating Agent Network from convnet_atari3
nn.Sequential {
  [input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> (9) -> (10) -> (11) -> output]
  (1): nn.Reshape(4x84x84)
  (2): nn.SpatialConvolution(4 -> 32, 8x8, 4,4, 1,1)
  (3): nn.Rectifier
  (4): nn.SpatialConvolution(32 -> 64, 4x4, 2,2)
  (5): nn.Rectifier
  (6): nn.SpatialConvolution(64 -> 64, 3x3)
  (7): nn.Rectifier
  (8): nn.Reshape(3136)
  (9): nn.Linear(3136 -> 512)
  (10): nn.Rectifier
  (11): nn.Linear(512 -> 4)
}
Convolutional layers flattened output size:     3136
Set up Torch using these options:
eval_steps      125000
seed    1
name    DQN3_0_1_breakout_FULL_Y
verbose 2
network
pool_frms       table: 0x413352f8
saveNetworkParams       false
gpu     1
eval_freq       250000
tensorType      torch.FloatTensor
env_params      table: 0x41335320
steps   50000000
prog_freq       10000
agent_params    table: 0x41335230
save_versions   0
framework       alewrap
agent   NeuralQLearner
threads 4
actrep  4
random_starts   30
game_path       /root/DeepLearning/DeepMind-Atari-Deep-Q-Learner/roms/
save_freq       125000
env     breakout
Iteration ..    0
qlua: not loading module qtgui (running with -nographics)
qlua: qtwidget window functions will not be usable (running with -nographics)
qtwidget window functions will not be usable (running with -nographics)
qlua: not loading module qtuiloader (running with -nographics)
qlua: /root/torch/install/share/lua/5.1/image/init.lua:1448: attempt to index global 'qtuiloader' (a nil value)
stack traceback:
        [C]: in function '__index'
        /root/torch/install/share/lua/5.1/image/init.lua:1448: in function 'window'
        /root/torch/install/share/lua/5.1/image/init.lua:1399: in function 'display'
        train_agent.lua:98: in main chunk
root@b04d950e403d:~/DeepLearning/DeepMind-Atari-Deep-Q-Learner#

kuz / DeepMind-Atari-Deep-Q-Learner

running in docker (turn off display on screen) #21