Beobench

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* Feature: enable easy access to standard configs via util method
* Feature: add non-normalised observations to info in energym integration (62)
* Feature: enable logging full episode data from RLlib and adding this data
to wandb (62)
* Feature: ship integrations with package improving image build times (44)
* Feature: add wandb logging support for random agent script (59)
* Feature: add rule-based agent script based on energym controller (60)
* Fix: add importlib-resources backport package to requirements
* Fix: allow users to disable reset() method in energym envs (43)
* Aux: add automatic deployment of PyPI package via GitHub actions (50)
* Aux: add tests and automatic checks on PRs (25)

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* Feature: defining all relevant options/kwargs of CLI an API is now supported
yaml files (54)
* Feature: allow multiple configs to be given to both CLI
(giving multiple ``-c`` options) and Python API (as a list) (51)
* Fix: adapted Energym env reset() method to avoid triggering
long warm-up times with additional simulation runs (43)
* Fix: enable container build even if prior build failed midway
and left artifacts

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* Feature: enable package extras to be given in development mode
* Feature: add support for arm64/aarch64-based development by forcing
experiment containers to run as amd64 containers on those systems (32)
* Fix: add gym to extended package requirements

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* Make dependencies that are only used inside experiment/gym
containers optional
(for all dependencies install via ``pip install beobench[extended]``)
* Add two part experiment image build process so that there is shared beobench
installation dockerfile
* Add support for yaml config files (!)
* Overhaul of documentation, including new envs page and new theme
* Enable RLlib free experiment containers when not required
* Add beobench_contrib as submodule
* Simplify Pypi readme file
* Remove GPU requirement for devcontainer

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* Add complete redesign of CLI: main command changed from
``python -m beobench.experiment.scheduler`` to ``beobench run``.
* Add support for energym environments
* Add support for MLflow experiment tracking
* Add support for custom agents

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* Add integration with sinergym
* Move gym integrations to separate beobench_contrib repo
* Make usage of GPUs in containers optional