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add tactile-gym to the list of projects using SB3 (#640)

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* Update projects.rst

* Update changelog.rst

* Update projects.rst

* Fix doc build

Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
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docs/misc/changelog.rst
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@ -27,6 +27,7 @@ Others:
Documentation:
^^^^^^^^^^^^^^
- Add highway-env to projects page (@eleurent)
- Add tactile-gym to projects page (@ac-93)
Release 1.3.0 (2021-10-23)
@ -829,4 +830,4 @@ And all the contributors:
@tirafesi @blurLake @koulakis @joeljosephjin @shwang @rk37 @andyshih12 @RaphaelWag @xicocaio
@diditforlulz273 @liorcohen5 @ManifoldFR @mloo3 @SwamyDev @wmmc88 @megan-klaiber @thisray
@tfederico @hn2 @LucasAlegre @AptX395 @zampanteymedio @JadenTravnik @decodyng @ardabbour @lorenz-h @mschweizer @lorepieri8 @vwxyzjn
@ShangqunYu @PierreExeter @JacopoPan @ltbd78 @tom-doerr @Atlis @liusida @09tangriro @amy12xx @juancroldan @benblack769 @bstee615 @c-rizz @skandermoalla @MihaiAnca13 @davidblom603 @ayeright @cyprienc @wkirgsn @AechPro @CUN-bjy @batu @IljaAvadiev @timokau @kachayev @eleurent
@ShangqunYu @PierreExeter @JacopoPan @ltbd78 @tom-doerr @Atlis @liusida @09tangriro @amy12xx @juancroldan @benblack769 @bstee615 @c-rizz @skandermoalla @MihaiAnca13 @davidblom603 @ayeright @cyprienc @wkirgsn @AechPro @CUN-bjy @batu @IljaAvadiev @timokau @kachayev @eleurent @ac-93

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docs/misc/projects.rst
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@ -93,10 +93,10 @@ A fully custom python API and C++ DLL to treat the popular game Rocket League li
gym-electric-motor
-------------------
An OpenAI gym environment for the simulation and control of electric drive trains.
An OpenAI gym environment for the simulation and control of electric drive trains.
Think of Matlab/Simulink for electric motors, inverters, and load profiles, but non-graphical and open-source in Python.
`gym-electric-motor` offers a rich interface for customization, including
`gym-electric-motor` offers a rich interface for customization, including
- plug-and-play of different control algorithms ranging from classical controllers (like field-oriented control) up to any RL agent you can find,
- reward shaping,
- load profiling,
@ -132,3 +132,12 @@ Driving policies can be trained in different scenarios, and several notebooks us
| GitHub: https://github.com/eleurent/highway-env
| Examples: `Colab Links <https://github.com/eleurent/highway-env/tree/master/scripts#using-stable-baselines3>`_
tactile-gym
-------------------
Suite of RL environments focussed on using a simulated tactile sensor as the primary source of observations. Sim-to-Real results across 4 out of 5 proposed envs.
| Author: Alex Church
| GitHub: https://github.com/ac-93/tactile_gym
| Paper: https://arxiv.org/abs/2106.08796
| Website: `tactile-gym website <https://sites.google.com/my.bristol.ac.uk/tactile-gym-sim2real/home>`_