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Add GEM project to project section of doc (#574)
* add GEM project to project section of doc * Update docs/misc/projects.rst * Update changelog.rst Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
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@ -28,7 +28,7 @@ Others:
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Documentation:
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^^^^^^^^^^^^^^
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- Added gym-electric-motor to project page (@wkirgsn)
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Release 1.2.0 (2021-09-03)
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@ -773,4 +773,4 @@ And all the contributors:
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@diditforlulz273 @liorcohen5 @ManifoldFR @mloo3 @SwamyDev @wmmc88 @megan-klaiber @thisray
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@tfederico @hn2 @LucasAlegre @AptX395 @zampanteymedio @JadenTravnik @decodyng @ardabbour @lorenz-h @mschweizer @lorepieri8 @vwxyzjn
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@ShangqunYu @PierreExeter @JacopoPan @ltbd78 @tom-doerr @Atlis @liusida @09tangriro @amy12xx @juancroldan @benblack769 @bstee615
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@c-rizz @skandermoalla @MihaiAnca13 @davidblom603 @ayeright @cyprienc
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@c-rizz @skandermoalla @MihaiAnca13 @davidblom603 @ayeright @cyprienc @wkirgsn
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@ -74,3 +74,23 @@ SuperSuit contains easy to use wrappers for Gym (and multi-agent PettingZoo) env
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| Author: Justin Terry
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| GitHub: https://github.com/PettingZoo-Team/SuperSuit
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| Tutorial on multi-agent support in stable baselines: https://towardsdatascience.com/multi-agent-deep-reinforcement-learning-in-15-lines-of-code-using-pettingzoo-e0b963c0820b
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gym-electric-motor
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-------------------
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An OpenAI gym environment for the simulation and control of electric drive trains.
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Think of Matlab/Simulink for electric motors, inverters, and load profiles, but non-graphical and open-source in Python.
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`gym-electric-motor` offers a rich interface for customization, including
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- plug-and-play of different control algorithms ranging from classical controllers (like field-oriented control) up to any RL agent you can find,
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- reward shaping,
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- load profiling,
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- finite-set or continuous-set control,
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- one-phase and three-phase motors such as induction machines and permanent magnet synchronous motors, among others.
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SB3 is used as an example in one of many tutorials showcasing the easy usage of `gym-electric-motor`.
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| Author: `Paderborn University, LEA department <https://github.com/upb-lea>`_
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| GitHub: https://github.com/upb-lea/gym-electric-motor
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| SB3 Tutorial: `Colab Link <https://colab.research.google.com/github/upb-lea/gym-electric-motor/blob/master/examples/reinforcement_learning_controllers/stable_baselines3_dqn_disc_pmsm_example.ipynb>`_
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| Paper: `JOSS <https://joss.theoj.org/papers/10.21105/joss.02498>`_, `TNNLS <https://ieeexplore.ieee.org/document/9241851>`_, `ArXiv <https://arxiv.org/abs/1910.09434>`_
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