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Add policy-distillation-baselines to project page (#578)
* Update projects.rst * Update docs/misc/projects.rst * Apply suggestions from code review * Update changelog.rst Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
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@ -32,6 +32,7 @@ Documentation:
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^^^^^^^^^^^^^^
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^^^^^^^^^^^^^^
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- Add Rocket League Gym to list of supported projects (@AechPro)
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- Add Rocket League Gym to list of supported projects (@AechPro)
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- Added gym-electric-motor to project page (@wkirgsn)
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- Added gym-electric-motor to project page (@wkirgsn)
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- Added policy-distillation-baselines to project page (@CUN-bjy)
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Release 1.2.0 (2021-09-03)
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Release 1.2.0 (2021-09-03)
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@ -776,4 +777,4 @@ And all the contributors:
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@diditforlulz273 @liorcohen5 @ManifoldFR @mloo3 @SwamyDev @wmmc88 @megan-klaiber @thisray
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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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@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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@ShangqunYu @PierreExeter @JacopoPan @ltbd78 @tom-doerr @Atlis @liusida @09tangriro @amy12xx @juancroldan @benblack769 @bstee615
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@c-rizz @skandermoalla @MihaiAnca13 @davidblom603 @ayeright @cyprienc @wkirgsn @AechPro
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@c-rizz @skandermoalla @MihaiAnca13 @davidblom603 @ayeright @cyprienc @wkirgsn @AechPro @CUN-bjy
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@ -109,3 +109,14 @@ SB3 is used as an example in one of many tutorials showcasing the easy usage of
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| GitHub: https://github.com/upb-lea/gym-electric-motor
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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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| 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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| 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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policy-distillation-baselines
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------------------------------
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A PyTorch implementation of Policy Distillation for control, which has well-trained teachers via Stable Baselines3.
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- `policy-distillation-baselines` provides some good examples for policy distillation in various environment and using reliable algorithms.
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- All well-trained models and algorithms are compatible with Stable Baselines3.
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| Authors: Junyeob Baek
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| GitHub: https://github.com/CUN-bjy/policy-distillation-baselines
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| Demo: `link <https://github.com/CUN-bjy/policy-distillation-baselines/issues/3#issuecomment-817730173>`_
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