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A Reinforcement Learning framework for the NAO robot
Hi, thank you for your work. I was going to try it with a Nao robot after the vrep simulation.
When I try to train the model in Vrep at NaoBancing Env with ppo, I got a ArgumentError.
return c_StopSimulation(clientID, operationMode)
ArgumentError: argument 1: <type 'exceptions.TypeError'>: wrong type
I find that the client_id is None. The reset method of Env(NaoBalancing) is called in the work method of Alg.py(A3C, PPO) before the initialzie method(NaoBalancing).
I saw ‘’Connect python client to VREP‘’ at initialize method. The client_id is defined and generated in connect method(VrepEnv/ base.py).
I think we must connect the pyhton client to Vrep and get the client_id before reset. But I am not sure where should I do this job at the right lines. Please help me!
Look forward to your kind reply.
Best wishes!
Hi,I meet a question when I running script "python train.py NaoBalancing a3c 0", so How I can fix this error, thanks!
raise error.Error('Attempted to look up malformed environment ID: {}. (Currently all IDs must be of the form {}.)'.format(id.encode('utf-8'), env_id_re.pattern))
gym.error.Error: Attempted to look up malformed environment ID: NaoBalancing. (Currently all IDs must be of the form ^(?:[\w:-]+/)?([\w:.-]+)-v(\d+)$.)
The path to Vrep is not added properly as a string to settings.py.
At the end of settings.py we have:
VREP_DIR = /home/mariem/Downloads/V-REP_PRO_EDU_V3_4_0_Linux
so import nao_rl
yields the following error:
File "nao_rl/settings.py", line 114 VREP_DIR = /home/mariem/Downloads/V-REP_PRO_EDU_V3_4_0_Linux ^ SyntaxError: invalid syntax
Changing it manually would definitely make it work, but I suppose one is not supposed to manually change settings.py
Hi
I saw you installed pynaoqi on ubuntu 18.04 and couldn't think of another wae to reach you.
Did you have issues installing it?
I tried like you to installed version 2.1.2 but I still get the error:
ImportError: ./_qi.so: cannot open shared object file: No such file or directory
any ideas?
Best regards,
Shai
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