[GitHub] mbaijal opened a new pull request #8991: Fix example parallel actor

[GitBox <gi...@apache.org>]

mbaijal opened a new pull request #8991: Fix example parallel actor
URL: https://github.com/apache/incubator-mxnet/pull/8991
 
 
   ## Description ##
   Does not run with python 3.x due to usage of `xrange`
   The default environment `PongDeterministic-v3` is deprecated. 
   Some updates to Readme needed
   
   ## Checklist ##
   ### Essentials ###
   - [ ] Passed code style checking (`make lint`)
   - [ ] Changes are complete (i.e. I finished coding on this PR)
   - [ ] All changes have test coverage
   - [ ] For user-facing API changes, API doc string has been updated. For new C++ functions in header files, their functionalities and arguments are well-documented. 
   - [ ] To my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
   
   ### Changes ###
   - [ ] example/reinforcement-learning/parallel_actor_critic/model.py uses xrange() in line 91. This has been changed to range() in python3
   - [ ] The default env as PongDeterministic-v3. However this is deprecated. Changed to PongDeterministic-v4 
   - [ ] Some updates to README
   
   ## Comments ##
    - I have tested on the Deep Learning AMI with Conda (Ubuntu) (ami-405ade3a)
    - I have verified that the change for python 3.x does not break the example on python 2.x
    - I have not verified the accuracy or validity of results.
   

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