MO-Gymnasium
gymprecice
| MO-Gymnasium | gymprecice | |
|---|---|---|
| 3 | 1 | |
| 242 | 20 | |
| 5.4% | - | |
| 7.7 | 7.4 | |
| 28 days ago | 3 months ago | |
| Python | Python | |
| MIT License | MIT License |
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MO-Gymnasium
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The Worlds First FPGA N64
"Show HN: Ghidra Plays Mario" (2023) https://news.ycombinator.com/item?id=37475761 :
[RL, ..., MuZero unplugged w/ PyTorch ]
> Farama-Foundation/Gymnasium is a fork of OpenAI/gym and it has support for additional Environments like MuJoCo: https://github.com/Farama-Foundation/Gymnasium#environments
> Farama-Foundation/MO-Gymnasiun: "Multi-objective Gymnasium environments for reinforcement learning": https://github.com/Farama-Foundation/MO-Gymnasium
Ghidra may or may not be useful for e.g. gadgets with mario64
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Show HN: Ghidra Plays Mario
"Multi-objective Gymnasium environments for reinforcement learning": https://github.com/Farama-Foundation/MO-Gymnasium
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MO-Gymnasium (a standard API and benchmark set for multi-objective RL) has reached mature status within the Farama Foundation.
The package is available to be installed with the typical `pip install mo-gymnasium` command. More information on the documentation page: https://mo-gymnasium.farama.org/ or the release notes: https://github.com/Farama-Foundation/MO-Gymnasium/releases/tag/v1.0.0
gymprecice
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Interesting Physics related RL gym?
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?
gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Minari - A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities
nand2tetris - An implementation of the nand2tetris project. A full-stack computer: ISA, Assembler, Virtual Machine, Interpreter, Compiler, Operating System, and a Graphical Sudoku game. All from scratch.
gym-simplegrid - Simple Gridworld Gymnasium Environment
switcher - Gnome Shell extension to switch windows quickly by typing
gym-hybrid - Collection of OpenAI parametrized action-space environments.
ghidra-plays-mario - Playing NES ROMs with Ghidra's PCode Emulator
gym-cartpole-swingup - A simple, continuous-control environment for OpenAI Gym
ghidra - Ghidra is a software reverse engineering (SRE) framework
Gym-Stag-Hunt - A custom reinfrocement learning environment for OpenAI Gym & PettingZoo that implements various Stag Hunt-like social dilemma games.
retro - Retro Games in Gym
modelicagym - Modelica models integration with Open AI Gym