Open oatuy opened 6 years ago
Since you are using the env.py as the environment, the prey policy should be implemented outside the environment by yourself. This is a little different from the modified gym environment which we implement the prey policy inside the environment. You can refer this repository to see how to use env.py correctly.
I am not sure whether this is caused by the environment.
Hello! I got the same error when running the main.py main_add_agents.py, slow_replay.py files, as shown below:
Traceback (most recent call last):
File "main.py", line 16, in
Would you please delete the env folder and try our env.py implementation. You can refer this repository .
Hello.
Thanks for your codes, but I got some errors.
I’m using your
env.py
, so I renamed theenv
folder and changedfrom env import envs
toimport env as envs
. Is it correct?Since I only have CPU, I change
self.sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))
toself.sess = tf.Session()
But maybe this is not related to the errors.When I ran the codes, I get such errors:
I tried to solve it by changing
action[ii,:] = self.agents[ii].action(state[ii,:])
toaction[ii,:] = self.agents[ii].action(state[ii])
, but it lead to other errors.Do you have some idea of the errors? Thank you.