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Added new project using SB3 in the documentation: rl_reach (#337)

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Pierre Aumjaud 2021-03-02 00:10:57 +01:00 committed by GitHub
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docs/misc/changelog.rst
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@ -13,6 +13,7 @@ Breaking Changes:
Documentation:
^^^^^^^^^^^^^^
- Fixed examples
- Added new project using SB3: rl_reach (@PierreExeter)
Pre-Release 0.11.1 (2021-02-27)
@ -588,4 +589,4 @@ 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 @decodyng @ardabbour @lorenz-h @mschweizer @lorepieri8
@ShangqunYu
@ShangqunYu @PierreExeter

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docs/misc/projects.rst
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@ -15,6 +15,15 @@ Please tell us, if you want your project to appear on this page ;)
.. | Author: Antonin Raffin (@araffin)
.. | Github repo: https://github.com/araffin/RL-Racing-Robot
rl_reach
--------
A platform for running reproducible reinforcement learning experiments for customisable robotic reaching tasks. This self-contained and straightforward toolbox allows its users to quickly investigate and identify optimal training configurations.
| Authors: Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera, Philip Cardiff
| Github: https://github.com/PierreExeter/rl_reach
| Paper: https://arxiv.org/abs/2102.04916
Generalized State Dependent Exploration for Deep Reinforcement Learning in Robotics
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