changed all the occurrences where an action is selected deterministically
- **from**: using the outputs of the actor network.
- **to**: using the mode of the PyTorch distribution.
---------
Co-authored-by: Arnau Jimenez <arnau.jimenez@zeiss.com>
The high-level examples were all broken by changes made to make mypy
pass.
This PR fixes them, making a type change in logging.run_cli instead to
make mypy happy.
* Add an option to SamplingConfig which allows to configure number of
test episodes
* Make OptimizerFactory more flexible, adding method
`create_optimizer_for_params`
* Fix AutoAlphaFactoryDefault using hard-coded Adam optimizer
* Fix mypy issues that were platform/installation-dependent
* Limit scope of nbqa, resolving issues with files generated by old
versions of the build
Fixes#1054
Closes#1005
## Main changes
2. Load vega-embed things using jupyter-book config
3. Add vega-embed dependencies as part of local code for offline
development
4. Reduced duplication in benchmark.js
5. Update sphinx, docutils, and jupyter-book
Co-authored-by: carlocagnetta <c.cagnetta@appliedai.de>
- Added nbqa to pyproject.toml
- Resolved mypy issues on notebooks and related files
- Conducting ruff checks on notebooks
- Add DataclassPPrintMixin for better stats representation
- Improved Notebooks wording and explanations
Resolve: #1004
Related to #974
Addresses part of #1015
### Dependencies
- move jsonargparse and docstring-parser to dependencies to run hl
examples without dev
- create mujoco-py extra for legacy mujoco envs
- updated atari extra
- removed atari-py and gym dependencies
- added ALE-py, autorom, and shimmy
- created robotics extra for HER-DDPG
### Mac specific
- only install envpool when not on mac
- mujoco-py not working on macOS newer than Monterey
(https://github.com/openai/mujoco-py/issues/777)
- D4RL also fails due to dependency on mujoco-py
(https://github.com/Farama-Foundation/D4RL/issues/232)
### Other
- reduced training-num/test-num in example files to a number ≤ 20
(examples with 100 led to too many open files)
- rendering for Mujoco envs needs to be fixed on gymnasium side
(https://github.com/Farama-Foundation/Gymnasium/issues/749)
---------
Co-authored-by: Maximilian Huettenrauch <m.huettenrauch@appliedai.de>
Co-authored-by: Michael Panchenko <35432522+MischaPanch@users.noreply.github.com>
