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It is unfortunate that OpenAI keeps on renaming methids in the gym API. We probably need to stick to a specific gym version, document that gym version in a requirements file, and bump it up if a volunteer shows up. (same for tensorflow etc) |
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I am very instersted in this project. So I'm considering that if you need a part-time volunteer for this issue? |
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It seems like that function 'deepq.load' has been replaced with 'deep.learn' in the new version of "baselines", but some programs haven't been updated, resulting in some errors. For example, "enjoy_pybullet_cartpole.py" still uses 'deep.load'
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