Minari VS gymprecice

Compare Minari vs gymprecice and see what are their differences.

Minari

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities (by Farama-Foundation)

gymprecice

A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control. (by gymprecice)
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Minari gymprecice
1 1
219 20
5.9% -
8.2 7.4
2 days ago 3 months ago
Python Python
GNU General Public License v3.0 or later MIT License
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Minari

Posts with mentions or reviews of Minari. We have used some of these posts to build our list of alternatives and similar projects.

gymprecice

Posts with mentions or reviews of gymprecice. We have used some of these posts to build our list of alternatives and similar projects.
  • Interesting Physics related RL gym?
    1 project | /r/reinforcementlearning | 7 Jul 2023
    Please check our recently released package https://github.com/gymprecice/gymprecice. There are couple of example there for active flow control and FSI. Gym-preCICE is a Python preCICE adapter fully compliant with Gymnasium (also known as OpenAI Gym) API to facilitate designing and developing Reinforcement Learning (RL) environments for single- and multi-physics active flow control (AFC) applications. In an actor-environment setting, Gym-preCICE takes advantage of preCICE, an open-source coupling library for partitioned multi-physics simulations, to handle information exchange between a controller (actor) and an AFC simulation environment. The developed framework results in a seamless non-invasive integration of realistic physics-based simulation toolboxes with RL algorithms.

What are some alternatives?

When comparing Minari and gymprecice you can also consider the following projects:

d3rlpy - An offline deep reinforcement learning library

MO-Gymnasium - Multi-objective Gymnasium environments for reinforcement learning

exorl - ExORL: Exploratory Data for Offline Reinforcement Learning

gym-simplegrid - Simple Gridworld Gymnasium Environment

PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

gym-hybrid - Collection of OpenAI parametrized action-space environments.

gym-cartpole-swingup - A simple, continuous-control environment for OpenAI Gym

Gym-Stag-Hunt - A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.

modelicagym - Modelica models integration with Open AI Gym