* Prevent test_device from being a noop

* Update changelog

---------

Co-authored-by: Adrià Garriga-Alonso <[email protected]>

* Add np.ndarray as a recognized type for TB histograms.

Torch histograms allow th.Tensor, np.ndarray, and caffe2 formatted strings. This commits expands the TensorBoardOutputFormat's capabilities to log the two former types.

* Update changelog to reflect bug fix

* fix: try/catch for if either np or torch aren't at the required versions. See https://github.com/DLR-RM/stable-baselines3/pull/1635

 for more details

* fix: Add comment describing the test for when add_histogram should not have been called

* Cleanup

---------

Co-authored-by: Antonin RAFFIN <[email protected]>

* Add support for pre and post linear modules in `create_mlp`

* Disable mypy for python 3.8

* Reformat toml file

* Update docstring

Co-authored-by: Quentin Gallouédec <[email protected]>

* Add some comments

---------

Co-authored-by: Quentin Gallouédec <[email protected]>

* Updated DQN optimizer input to only include q_network parameters

* Update version

---------

Co-authored-by: Antonin RAFFIN <[email protected]>

The variable `env` is not defined. The gym env we want to change is `vec_env`

* Remove unnecessary SDE resampling in PPO update

* Update changelog.rst

* Update version

* Update PyTorch version on CI

* Update ruff

* Limit NumPy version

* Reformat

---------

Co-authored-by: Antonin RAFFIN <[email protected]>

* Fixing #1791

* Update test and version

* Add test for callback after eval

* Fix mypy error

* Remove tqdm warnings

---------

Co-authored-by: Antonin RAFFIN <[email protected]>

* Fix loading a model with net_arch=None

* Remove redundant get

* Dummy commit

* Add to contributors

* Update test and version

---------

Co-authored-by: Antonin Raffin <[email protected]>

* Fix memory leak in base_class.py

Loading the data return value is not necessary since it is unused. Loading the data causes a memory leak through the ep_info_buffer variable. I found this while loading a PPO learner from storage on a multi-GPU system since the ep_info_buffer is loaded to the memory location it was on while it was saved to disk, instead of the target loading location, and is then not cleaned up.

* Update changelog.rst

* Update changelog

---------

Co-authored-by: Antonin RAFFIN <[email protected]>

* Fix various typos

* Update changelog

---------

Co-authored-by: Antonin Raffin <[email protected]>

* Avoid torch type-error under torch.compile

* Update changelog and version

* Update stable_baselines3/common/buffers.py

Co-authored-by: Antonin RAFFIN <[email protected]>

---------

Co-authored-by: Antonin Raffin <[email protected]>

* fixed tb video docs

* updated changelog

* add comment on expected render() output

* Update changelog.rst

---------

Co-authored-by: Antonin RAFFIN <[email protected]>

* Add ER_MRL

* Update changelog

* Move ER-MRL at the end of the file

* Improve project description

* Update changelog

---------

Co-authored-by: Antonin Raffin <[email protected]>

* create failing test for unpickle error

* Fix learning_rate argument causing failure in weights_only=True if passed a function with non-float types

* Updated with feedback from araffin on PR#1901

* Update test and version

* Update changelog and SBX doc

---------

Co-authored-by: Antonin Raffin <[email protected]>

* Release v2.3.0

* Fix typos

* Add success rate in monitor for on policy algorithms

* Update changelog

* make commit-checks refactoring

* Assert buffers are not none in _dump_logs

* Automatic refactoring of the type hinting

* Add success_rate logging test for on policy algorithms

* Update changelog

* Reformat

* Fix tests and update changelog

---------

Co-authored-by: Antonin Raffin <[email protected]>

* Update ruff

* Only load weights with `torch.load()` to avoid security issues

* Update doc about HF integration and remote code execution

* Fix doc build

* Revert weight_only=True for policies

Fix docstring for ``log_interval`` to differentiate between on-policy/off-policy logging frequency (#1855)

* Fix docstring for log_interval inside the learn method in the base class.

* Updated changelog.

* Update docstring

---------

Co-authored-by: Antonin RAFFIN <[email protected]>

Co-authored-by: Heinrick Lumini <[email protected]>

* Update ruff

* Update env checker for non-zero start

* Fix example in README.md

* Update changelog

---------

Co-authored-by: Antonin Raffin <[email protected]>

* Update TD3/DDPG/DQN defaults for consistency

* Update changelog

* add: paragraph on how to modify vec envs attributes via setters (solves
DLR-RM#1573)

* Update vec env doc

* Update callback doc and SB3 version

* Fix indentation

---------

Co-authored-by: Antonin Raffin <[email protected]>

* Update examples.rst

* Update changelog.rst

* Adding pokemon red

* update changelog

---------

Co-authored-by: Antonin RAFFIN <[email protected]>

* new closing policy

* revert #1742

* Add tests and update changelog

---------

Co-authored-by: Antonin Raffin <[email protected]>

* Fix resource warning

* Add test and update changelog

* Fix for new mypy version

* Fix VecNormalize type hints

* Fix VecEnv utils type annotations

* Apply suggestions from code review

Co-authored-by: M. Ernestus <[email protected]>

* Remove PyType

---------

Co-authored-by: M. Ernestus <[email protected]>