Doc fix environment mixup (#588)

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Ilja Avadiev 2021-09-29 10:16:59 +02:00 committed by GitHub
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2 changed files with 3 additions and 2 deletions

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@ -40,6 +40,7 @@ Documentation:
- Added policy-distillation-baselines to project page (@CUN-bjy) - Added policy-distillation-baselines to project page (@CUN-bjy)
- Added ONNX export instructions (@batu) - Added ONNX export instructions (@batu)
- Update read the doc env (fixed ``docutils`` issue) - Update read the doc env (fixed ``docutils`` issue)
- Fix PPO environment name (@IljaAvadiev)
Release 1.2.0 (2021-09-03) Release 1.2.0 (2021-09-03)
@ -783,4 +784,4 @@ And all the contributors:
@tirafesi @blurLake @koulakis @joeljosephjin @shwang @rk37 @andyshih12 @RaphaelWag @xicocaio @tirafesi @blurLake @koulakis @joeljosephjin @shwang @rk37 @andyshih12 @RaphaelWag @xicocaio
@diditforlulz273 @liorcohen5 @ManifoldFR @mloo3 @SwamyDev @wmmc88 @megan-klaiber @thisray @diditforlulz273 @liorcohen5 @ManifoldFR @mloo3 @SwamyDev @wmmc88 @megan-klaiber @thisray
@tfederico @hn2 @LucasAlegre @AptX395 @zampanteymedio @JadenTravnik @decodyng @ardabbour @lorenz-h @mschweizer @lorepieri8 @vwxyzjn @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 @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

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@ -50,7 +50,7 @@ Example
This example is only to demonstrate the use of the library and its functions, and the trained agents may not solve the environments. Optimized hyperparameters can be found in RL Zoo `repository <https://github.com/DLR-RM/rl-baselines3-zoo>`_. This example is only to demonstrate the use of the library and its functions, and the trained agents may not solve the environments. Optimized hyperparameters can be found in RL Zoo `repository <https://github.com/DLR-RM/rl-baselines3-zoo>`_.
Train a PPO agent on ``Pendulum-v0`` using 4 environments. Train a PPO agent on ``CartPole-v1`` using 4 environments.
.. code-block:: python .. code-block:: python