Traceback (most recent call last):
File "main.py", line 120, in
main()
File "main.py", line 117, in main
atari_learn(env, task.env_id, num_timesteps=task.max_timesteps, double_dqn=double_dqn, dueling_dqn=dueling_dqn)
File "main.py", line 72, in atari_learn
dueling_dqn=dueling_dqn
File "/home/sotirisnik/other/DQN_pytorch/learn.py", line 149, in dqn_learning
obs, reward, done, info = env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/other/DQN_pytorch/utils/atari_wrappers.py", line 132, in _step
obs, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/other/DQN_pytorch/utils/atari_wrappers.py", line 124, in _step
obs, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 279, in _step
return self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/other/DQN_pytorch/utils/atari_wrappers.py", line 93, in _step
obs, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 279, in _step
return self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/other/DQN_pytorch/utils/atari_wrappers.py", line 53, in _step
obs, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/wrappers/monitoring.py", line 33, in _step
observation, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/wrappers/time_limit.py", line 36, in _step
observation, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/envs/atari/atari_env.py", line 73, in _step
action = self._action_set[a]
IndexError: only integers, slices (:), ellipsis (...), numpy.newaxis (None) and integer or boolean arrays are valid indices
[2018-06-27 02:58:15,904] Finished writing results. You can upload them to the scoreboard via gym.upload('/home/sotirisnik/other/DQN_pytorch/tmp/BreakoutNoFrameskip-v4')
cuiguangwu
commented
4 years ago
Traceback (most recent call last): File "main.py", line 120, in
main()
File "main.py", line 117, in main
atari_learn(env, task.env_id, num_timesteps=task.max_timesteps, double_dqn=double_dqn, dueling_dqn=dueling_dqn)
File "main.py", line 72, in atari_learn
dueling_dqn=dueling_dqn
File "/home/sotirisnik/other/DQN_pytorch/learn.py", line 149, in dqn_learning
obs, reward, done, info = env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/other/DQN_pytorch/utils/atari_wrappers.py", line 132, in _step
obs, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/other/DQN_pytorch/utils/atari_wrappers.py", line 124, in _step
obs, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 279, in _step
return self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/other/DQN_pytorch/utils/atari_wrappers.py", line 93, in _step
obs, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 279, in _step
return self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/other/DQN_pytorch/utils/atari_wrappers.py", line 53, in _step
obs, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/wrappers/monitoring.py", line 33, in _step
observation, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/wrappers/time_limit.py", line 36, in _step
observation, reward, done, info = self.env.step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/core.py", line 99, in step
return self._step(action)
File "/home/sotirisnik/anaconda3/envs/my_env/lib/python3.6/site-packages/gym/envs/atari/atari_env.py", line 73, in _step
action = self._action_set[a]
IndexError: only integers, slices (
:), ellipsis (...), numpy.newaxis (None) and integer or boolean arrays are valid indices [2018-06-27 02:58:15,904] Finished writing results. You can upload them to the scoreboard via gym.upload('/home/sotirisnik/other/DQN_pytorch/tmp/BreakoutNoFrameskip-v4')