Adding ER-MRL to community project (#1904)

* Add ER_MRL

* Update changelog

* Move ER-MRL at the end of the file

* Improve project description

* Update changelog

---------

Co-authored-by: Antonin Raffin <antonin.raffin@dlr.de>
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Corentin 2024-04-25 14:31:15 +02:00 committed by GitHub
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@ -16,7 +16,7 @@ as well as tips and tricks when using a custom environment or implementing an RL
.. note::
We also have a `video on Designing and Running Real-World RL Experiments <https://youtu.be/eZ6ZEpCi6D8>`_, slides are `can be found online <https://araffin.github.io/slides/design-real-rl-experiments/>`_.
We also have a `video on Designing and Running Real-World RL Experiments <https://youtu.be/eZ6ZEpCi6D8>`_, slides `can be found online <https://araffin.github.io/slides/design-real-rl-experiments/>`_.
General advice when using Reinforcement Learning

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@ -3,6 +3,41 @@
Changelog
==========
Release 2.4.0a0 (WIP)
--------------------------
Breaking Changes:
^^^^^^^^^^^^^^^^^
New Features:
^^^^^^^^^^^^^
Bug Fixes:
^^^^^^^^^^
`SB3-Contrib`_
^^^^^^^^^^^^^^
`RL Zoo`_
^^^^^^^^^
`SBX`_ (SB3 + Jax)
^^^^^^^^^^^^^^^^^^
Deprecations:
^^^^^^^^^^^^^
Others:
^^^^^^^
Bug Fixes:
^^^^^^^^^^
Documentation:
^^^^^^^^^^^^^^
- Added ER-MRL to the project page
Release 2.3.1 (2024-04-22)
--------------------------

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@ -239,3 +239,14 @@ Playing Pokemon Red with Reinforcement Learning.
| Author: Peter Whidden
| Github: https://github.com/PWhiddy/PokemonRedExperiments
| Video: https://www.youtube.com/watch?v=DcYLT37ImBY
Evolving Reservoirs for Meta Reinforcement Learning
---------------------------------------------------
Meta-RL framework to optimize reservoir-like neural structures (special kind of RNNs), and integrate them to RL agents to improve their training.
It enables solving environments involving partial observability or locomotion (e.g MuJoCo), and optimizing reservoirs that can generalize to unseen tasks.
| Authors: Corentin Léger, Gautier Hamon, Eleni Nisioti, Xavier Hinaut, Clément Moulin-Frier
| Github: https://github.com/corentinlger/ER-MRL
| Paper: https://arxiv.org/abs/2312.06695

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@ -1 +1 @@
2.3.1
2.4.0a0