Add DriverGym project to SB3 project documentation (#665)

* Added DriverGym project

* Updated changelog

* Update changelog.rst

Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
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Parth Kothari 2021-11-17 11:13:43 +01:00 committed by GitHub
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@ -30,6 +30,7 @@ Others:
Documentation:
^^^^^^^^^^^^^^
- Add drivergym to projects page (@theDebugger811)
- Add highway-env to projects page (@eleurent)
- Add tactile-gym to projects page (@ac-93)
- Fix indentation in the RL tips page (@cove9988)
@ -838,4 +839,4 @@ And all the contributors:
@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 @cleversonahum
@eleurent @ac-93 cove9988
@eleurent @ac-93 @cove9988 @theDebugger811

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@ -6,6 +6,15 @@ Projects
This is a list of projects using stable-baselines3.
Please tell us, if you want your project to appear on this page ;)
DriverGym
---------
An open-source Gym-compatible environment specifically tailored for developing RL algorithms for autonomous driving. DriverGym provides access to more than 1000 hours of expert logged data and also supports reactive and data-driven agent behavior. The performance of an RL policy can be easily validated using an extensive and flexible closed-loop evaluation protocol. We also provide behavior cloning baselines using supervised learning and RL, trained in DriverGym.
| Authors: Parth Kothari, Christian Perone, Peter Ondruska
| Github: https://github.com/lyft/l5kit
| Paper: https://arxiv.org/abs/2111.06889
RL Reach
--------