I arrived at almost exactly the same changes trying to install on an 2022 M1 Pro. However, since an M1-compatible TensorFlow wheel is not distributed through the normal Anaconda repositories, I had to take the additional steps documented here:
tensorflow/tensorflow#51506 (comment)

In order to get OpenGL rendering to work, I also needed pip install pyglet==1.5.15.

These might be useful to mention when the Gym's install instructions are updated.

There was also another PR with more comprehensive changes for TensorFlow 2 compatibility, but so far I didn't need them for running experiments:
#341

I additionally had to change tensorflow to tensorflow-macos<3.0 to support apple's GPU supported Tensorflow version.

Here are all commands that yielded a successful install for me (I already had the command line tools and used pipenv to create the python environment)

git clone https://github.com/openai/spinningup.git
cd spinningup
git fetch origin pull/381/head:2023Jan_dependency_upgrades
git checkout 2023Jan_dependency_upgrades
pipenv --python 3.9
pipenv shell
pip install swig
brew install freetype
pip install pyglet==1.5.15
pip install tensorflow-macos
pip install tensorflow-metal

replace 'tensorflow>=1.8.0,<3.0 in setup.py with:
'tensorflow>=1.8.0,<3.0; sys_platform != "darwin" or platform_machine != "arm64"',
'tensorflow-macos>=1.8.0,<3.0; sys_platform == "darwin" and platform_machine == "arm64"',

Finally run the install:
pip install -e .

I somehow had to run pip install pyglet==1.5.15 again.

Do we have the equivalent for linux ubuntu?

I am sorry that I followed the instructions and successfully installed the spinningup but when I use the command python -m spinup.run test_policy data/installtest/installtest_s0, I got zsh: illegal hardware instruction python -m spinup.run test_policy data/installtest/installtest_s0. Could someone help me?

worked like a charm on M1 with python 3.8.

1. Apply changes from PR File Changes
2. conda create -n spinningup python=3.8
3. pip install -e .

More issues arise later with

python -m spinup.run plot
python -m spinup.run test_policy

after successful run of

python -m spinup.run ppo --hid "[32,32]" --env LunarLander-v2 --exp_name installtest --gamma 0.999

How to fix python -m spinup.run plot ...?

1. in setup.py replace
   'matplotlib==3.1.1' -> 'matplotlib==3.7.5'
'seaborn==0.8.1' -> 'seaborn==0.13.2'

2. Replace

sns.tsplot(data=data, time=xaxis, value=value, unit="Unit", condition=condition, ci='sd', **kwargs)

with

sns.lineplot(data=data, x=xaxis, y=value, hue=condition, ci="sd", **kwargs)

How to fix python -m spinup.run test_policy ...?

pip install pyglet==1.5.29

you will get an error message

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
gym 0.15.7 requires pyglet<=1.5.0,>=1.4.0, but you have pyglet 1.5.29 which is incompatible.

but the installation should succeed (verify with pip show pyglet)

worked like a charm on M1 with python 3.8.

1. Apply changes from PR File Changes
2. conda create -n spinningup python=3.8
3. pip install -e .

More issues arise later with

python -m spinup.run plot
python -m spinup.run test_policy

after successful run of

python -m spinup.run ppo --hid "[32,32]" --env LunarLander-v2 --exp_name installtest --gamma 0.999

How to fix python -m spinup.run plot ...?

1. in setup.py replace
   'matplotlib==3.1.1' -> 'matplotlib==3.7.5'
'seaborn==0.8.1' -> 'seaborn==0.13.2'
2. Replace

sns.tsplot(data=data, time=xaxis, value=value, unit="Unit", condition=condition, ci='sd', **kwargs)

with

sns.lineplot(data=data, x=xaxis, y=value, hue=condition, ci="sd", **kwargs)

How to fix python -m spinup.run test_policy ...?

pip install pyglet==1.5.29

you will get an error message

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
gym 0.15.7 requires pyglet<=1.5.0,>=1.4.0, but you have pyglet 1.5.29 which is incompatible.

but the installation should succeed (verify with pip show pyglet)

I also had to run
pip install swig
And then
pip install -e .