Upgrade to Tensorflow 2

Currently I have a huge dilemma:

• backport all my code to TF 1, in order to use Stable Baselines and my code in one project
• or use something less mature than Stable Baselines (eg TF Agents) only because I have Tensorflow 2.3 code in my project

Couldn’t you support also newer TF versions (tensorflow>=1.8.0,<2.0.0 could become tensorflow>=1.8.0).

[araffin]

There is an non official version with tf2 support here if you want : https://github.com/hill-a/stable-baselines/issues/984

[nbro]

@araffin I already quickly looked at the first issue. As I said somewhere else, it seems that there aren’t big plans to support TF 2 (https://github.com/Stable-Baselines-Team/stable-baselines-tf2) and you are already developing the new version of this package with PyTorch, which, as I said, is a risky change (https://github.com/DLR-RM/stable-baselines3) given that TF seems to be a lot more used than PyTorch, although PyTorch is also used in research and, apparently, most people voted for PyTorch in your poll. For example, now, I would need to use TF 2 with stable-baselines and I can’t. I am sure there will be other people with my same issue (given that TF 2 already quite mature and we are already at version 2.3).