gtoubassi/dqn-atari

A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well

dqn-atari's Issues

Hi Gtoubassi

Dear Gtoubassi
Thank you for your reply.
I have downloaded a game ROM of space invaders. I followed the running instructions from the readme file, but something wrong happened, as the following demonstrating.
moxing@moxing-OptiPlex-9020:~/Prj/RL/DQN/dqn-atari$ python ./play_atari.py ~/space_invaders.bin | tee train.log A.L.E: Arcade Learning Environment (version 0.6.0) [Powered by Stella] Use -help for help screen. Warning: couldn't load settings file: ./ale.cfg Traceback (most recent call last): File "./play_atari.py", line 37, in <module> Arguments: Namespace(compress_replay=False, eval_epoch_steps=125000, learning_rate=0.00025, model=None, normalize_weights=True, observation_steps=50000, prioritized_replay=False, replay_capacity=1000000, rom='/home/moxing/space_invaders.bin', save_model_freq=10000, screen_capture_freq=250, target_model_update_freq=10000, train_epoch_steps=250000) environment = AtariEnvironment(args, baseOutputDir) File "/home/moxing/Prj/RL/DQN/dqn-atari/atari_environment.py", line 27, in __init__ self.ale.loadROM(args.rom) File "/home/moxing/anaconda3/lib/python3.6/site-packages/ale_python_interface/ale_python_interface.py", line 138, in loadROM ale_lib.loadROM(self.obj, rom_file) ctypes.ArgumentError: argument 2: <class 'TypeError'>: wrong type
I put the ROM file and the py file in the same folder, and I input the running command in the pytharm's terminal.
What the problems are? Could you please help me out?
Sincerely Luo

Hello

Dear Gtoubassi
Thank you for your code and I find that something puzzles me.
The running step4, what is the game ROM, and how to download it?
Thank you for your reply.
Yours Luo