gym-simplegrid VS gymprecice

Compare gym-simplegrid vs gymprecice and see what are their differences.

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gym-simplegrid gymprecice
2 1
33 20
- -
5.4 7.4
18 days ago 3 months ago
Python Python
Apache License 2.0 MIT License
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gym-simplegrid

Posts with mentions or reviews of gym-simplegrid. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-12.

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 gym-simplegrid and gymprecice you can also consider the following projects:

minihack - MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

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

dmc2gymnasium - Gymnasium integration for the DeepMind Control (DMC) suite

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

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

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

santorini-RL - Play the board game Santorini with this Reinforcement Learning agent and custom Gym environment

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

Gym-Trading-Env - A simple, easy, customizable Gymnasium environment for trading.

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

pyTORCS-docker - Docker-based, gym-like torcs environment with vision.

modelicagym - Modelica models integration with Open AI Gym