The original stable-baselines repo only supports TF1.x.
This repo makes a few modifications to make stable-baselines compatible with TF2.x while keeping the rest of the code logic intact.

L1 and L2 regularizations are introduced in PPO2. You may mimic them to apply to other agents, e.g., A2C.
In general, the network performs better with regularizations. You can tune the L1 and L2 weights based on the following quick facts:

• L1 regularization makes the network weights sparse;
• L2 regularization makes the network weights small.

• Follow the instructions in the original repo to install stable-baselines;
• Locate the original stable_baselines/ folder on your machine and remove that folder (depending on your machine and environment types, you may need to use other ways to locate this folder):

path=$(find . -type d -name "stable_baselines")
echo $path
rm -r $path

• Download (git clone) this repo, and copy its content to where stable_baselines/ used to locate:

mkdir $path
cp -r stable-baselines-tf2/* $path

• Check all the files are coped to $path:

ls $path

• Delete the downloaded repo (and answer y to all questions):

rm -r stable-baselines-tf2

• This repo does not work with tensorboard yet due to some weird compatibility issues for tf.summary in TF1.