Error While training

[utkarshshri1016]

When I try to train the model on a kaggle by running

python arnold.py
--freedoom "true"                # use freedoom resources
--height 60                      # screen height
--width 108                      # screen width
--gray "false"                   # use grayscale screen
--use_screen_buffer "true"       # use the screen buffer (what the player sees)
--use_depth_buffer "false"       # use the depth buffer
--labels_mapping ""              # use extra feature maps for specific objects
--game_features "target,enemy"   # game features prediction (auxiliary tasks)
--render_hud "false"             # render the HUD (status bar in the bottom of the screen)
--render_crosshair "true"        # render crosshair (targeting aid in the center of the screen)
--render_weapon "true"           # render weapon
--hist_size 4                    # history size
--frame_skip 4                   # frame skip (1 = keep every frame)


--action_combinations "attack+move_lr;turn_lr;move_fb"  # agent allowed actions
--freelook "false"               # allow the agent to look up and down
--speed "on"                     # make the agent run
--crouch "off"                   # make the agent crouch


--batch_size 32                  # batch size
--replay_memory_size 1000000     # maximum number of frames in the replay memory
--start_decay 0                  # epsilon decay iteration start
--stop_decay 1000000             # epsilon decay iteration end
--final_decay 0.1                # final epsilon value
--gamma 0.99                     # discount factor gamma
--dueling_network "false"        # use a dueling architecture
--clip_delta 1.0                 # clip the delta loss
--update_frequency 4             # DQN update frequency
--dropout 0.5                    # dropout on CNN output layer
--optimizer "rmsprop,lr=0.0002"  # network optimizer


--network_type "dqn_rnn"         # network type (dqn_ff / dqn_rnn)
--recurrence "lstm"              # recurrent network type (rnn / gru / lstm)
--n_rec_layers 1                 # number of layers in the recurrent network
--n_rec_updates 5                # number of updates by sample
--remember 1                     # remember all frames during evaluation
--use_bn "off"                   # use BatchNorm when processing the screen
--variable_dim "32"              # game variables embeddings dimension
--bucket_size "[10, 1]"          # bucket game variables (typically health / ammo)
--hidden_dim 512                 # hidden layers dimension


--scenario "deathmatch"          # scenario
--wad "full_deathmatch"          # WAD file (scenario file)
--map_ids_train "2,3,4,5"        # maps to train the model
--map_ids_test "6,7,8"           # maps to test the model
--n_bots 8                       # number of enemy bots
--randomize_textures "true"      # randomize walls / floors / ceils textures during training
--init_bots_health 20            # reduce initial life of enemy bots (helps a lot when using pistol)

--exp_name new_train             # experiment name
--dump_freq 200000               # periodically dump the model
--gpu_id -1 

I get the following Error
Can someone help me fix this