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Last usage in our platform was in October 2020. In the past year, we have seen 14 notebooks using it only. User wanting to use this package should use `!pip install tensorforce` into their own kernel. TensorForce 0.6.2 has dependencies on tensorflow==2.3.1 and numpy==1.18.5 which is incompatible with our environment. We don't want to constrain new release of TensorFlow for a package that is barely being used. Hence, the reason for dropping it from our base image. http:https://b/181584341
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