modelicagym VS gymprecice

Compare modelicagym vs gymprecice and see what are their differences.

gymprecice

A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control. (by gymprecice)
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modelicagym gymprecice
1 1
74 20
- -
0.0 7.4
about 2 years ago 3 months ago
Python Python
GNU General Public License v3.0 only MIT License
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modelicagym

Posts with mentions or reviews of modelicagym. 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 modelicagym and gymprecice you can also consider the following projects:

ns3-gym - ns3-gym - The Playground for Reinforcement Learning in Networking Research

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

robo-gym - An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

Minari - A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

gym-simplegrid - Simple Gridworld Gymnasium Environment

Minigrid - Simple and easily configurable grid world environments for reinforcement learning

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

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

space-gym - Challenging reinforcement learning environments with locomotion tasks in space

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