From e1ee87fef7a5a7d7486fd6e5889cfdface2d0cda Mon Sep 17 00:00:00 2001 From: Justin Terry Date: Sat, 20 Mar 2021 15:48:15 -0400 Subject: [PATCH] Include SuperSuit in projects (#359) * include supersuit * longer title underline * Update changelog.rst --- docs/misc/changelog.rst | 1 + docs/misc/projects.rst | 13 +++++++++++++ 2 files changed, 14 insertions(+) diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst index 2c0d569..e1bed34 100644 --- a/docs/misc/changelog.rst +++ b/docs/misc/changelog.rst @@ -25,6 +25,7 @@ Others: Documentation: ^^^^^^^^^^^^^^ - Added gym pybullet drones project (@JacopoPan) +- Added link to SuperSuit in projects (@justinkterry) Release 1.0 (2021-03-15) diff --git a/docs/misc/projects.rst b/docs/misc/projects.rst index 5308120..c71a8b3 100644 --- a/docs/misc/projects.rst +++ b/docs/misc/projects.rst @@ -61,3 +61,16 @@ PyBullet Gym environments for single and multi-agent reinforcement learning of q | Author: Jacopo Panerati | Github: https://github.com/utiasDSL/gym-pybullet-drones/ | Paper: https://arxiv.org/abs/2103.02142 + +SuperSuit +--------- + +SuperSuit contains easy to use wrappers for Gym (and multi-agent PettingZoo) environments to do all forms of common preprocessing (frame stacking, converting graphical observations to greyscale, max-and-skip for Atari, etc.). It also notably includes: + +-Wrappers that apply lambda functions to observations, actions, or rewards with a single line of code. +-All wrappers can be used natively on vector environments, wrappers exist to Gym environments to vectorized environments and concatenate multiple vector environments together +-A wrapper is included that allows for using regular single agent RL libraries (e.g. stable baselines) to learn simple multi-agent PettingZoo environments, explained in this tutorial: + +| Author: Justin Terry +| GitHub: https://github.com/PettingZoo-Team/SuperSuit +| Tutorial on multi-agent support in stable baselines: https://towardsdatascience.com/multi-agent-deep-reinforcement-learning-in-15-lines-of-code-using-pettingzoo-e0b963c0820b