From 2bb8ef5e632a0e0dda291c2cd6735da75a4fcb7e Mon Sep 17 00:00:00 2001 From: Friedrich Yuan Date: Wed, 28 Dec 2022 22:06:09 +0800 Subject: [PATCH] Add RLeXplore to the project page (#1246) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Update project page Adding the repo "rl-exploration-baselines" to the project page. * Update changelog.rst * Update projects.rst * Update changelog.rst * Update docs/misc/projects.rst * Update changelog.rst Co-authored-by: Quentin Gallouédec <45557362+qgallouedec@users.noreply.github.com> --- docs/misc/changelog.rst | 3 ++- docs/misc/projects.rst | 12 ++++++++++++ 2 files changed, 14 insertions(+), 1 deletion(-) diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst index 692aa7f..b5b1701 100644 --- a/docs/misc/changelog.rst +++ b/docs/misc/changelog.rst @@ -80,6 +80,7 @@ Documentation: - Updated custom policy documentation (@athatheo) - Improved tensorboard callback doc - Clarify doc when using image-like input +- Added RLeXplore to the project page (@yuanmingqi) Release 1.6.2 (2022-10-10) @@ -1158,5 +1159,5 @@ And all the contributors: @eleurent @ac-93 @cove9988 @theDebugger811 @hsuehch @Demetrio92 @thomasgubler @IperGiove @ScheiklP @simoninithomas @armandpl @manuel-delverme @Gautam-J @gianlucadecola @buoyancy99 @caburu @xy9485 @Gregwar @ycheng517 @quantitative-technologies @bcollazo @git-thor @TibiGG @cool-RR @MWeltevrede -@Melanol @qgallouedec @francescoluciano @jlp-ue @burakdmb @timothe-chaumont @honglu2875 +@Melanol @qgallouedec @francescoluciano @jlp-ue @burakdmb @timothe-chaumont @honglu2875 @yuanmingqi @anand-bala @hughperkins @sidney-tio @AlexPasqua @dominicgkerr @Akhilez @Rocamonde @tobirohrer @ZikangXiong diff --git a/docs/misc/projects.rst b/docs/misc/projects.rst index b928f70..b866b78 100644 --- a/docs/misc/projects.rst +++ b/docs/misc/projects.rst @@ -161,3 +161,15 @@ Suite of RL environments focused on using a simulated tactile sensor as the prim | GitHub: https://github.com/ac-93/tactile_gym | Paper: https://arxiv.org/abs/2106.08796 | Website: `tactile-gym website `_ + +RLeXplore +--------- + +RLeXplore is a set of implementations of intrinsic reward driven-exploration approaches in reinforcement learning using PyTorch, which can be deployed in arbitrary algorithms in a plug-and-play manner. In particular, RLeXplore is designed to be well compatible with Stable-Baselines3, providing more stable exploration benchmarks. + +- Support arbitrary RL algorithms; +- Highly modular and high expansibility; +- Keep up with the latest research progress. + +| Author: Mingqi Yuan +| GitHub: https://github.com/yuanmingqi/rl-exploration-baselines