In the bipedal walker, errors occur about deep-reinforcement-learning HOT 5 CLOSED

@BerrySG, did you manage to run the notebook and get a policy that actually solves the walker problem? I tried the fix of changing action to action[0], which allowed the notebook to run, but it didn't produce useful policies (the walking just stumbles and falls over). The graph of the score in the online notebook also suggests that the policies are not converging to a good solution like that displayed in the video in https://github.com/udacity/deep-reinforcement-learning/blob/master/ddpg-bipedal/README.md

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I see the same error on Ubuntu 16.04. Somehow action becomes an array of arrays, so action[0] is actually an array of length 4.

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@crobarcro
I`ve solved the problem by reinstall the full version of OpenAI-GYM, it seems that some components are missing then lead to this problem

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Thanks, did you do this using pip, or from the gym source package?

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@crobarcro I download the whole source package then install

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