# Description

When running `play.py` with `--real-time`, the dt used to calculate this
is incorrect. It is currently using `env.physics_dt`, which is `sim_dt`.
However, if the decimation is >1, then the effective dt is
`env.step_dt`, which is `sim_dt * decimation`. We are running 1
env.step() per loop, so this should definitely be `env.step_dt`.

This affects all reinforcement_learning/<rl_library>/play.py files. This
updates all of these appropriately

Fixes #2230 

## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] (No need for test for small change in script) I have added tests
that prove my fix is effective or that my feature works
- [x] (No need for changelog in scripts) I have updated the changelog
and the corresponding version in the extension's `config/extension.toml`
file
- [x] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there
Signed-off-by: Tyler Lum <tylergwlum@gmail.com>