Minari
MO-Gymnasium
| Minari | MO-Gymnasium | |
|---|---|---|
| 1 | 3 | |
| 219 | 241 | |
| 5.9% | 5.0% | |
| 8.2 | 7.7 | |
| 3 days ago | 25 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Minari
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Announcing Minari (Gym for offline RL, by the Farama Foundation) is going into public beta
You can also read the full release notes here: https://github.com/Farama-Foundation/Minari/releases/tag/v0.3.0
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
What are some alternatives?
d3rlpy - An offline deep reinforcement learning library
gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
exorl - ExORL: Exploratory Data for Offline Reinforcement Learning
gymprecice - A framework to design and develop reinforcement learning environments for single- and multi-physics active flow control.
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.
PettingZoo - An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
switcher - Gnome Shell extension to switch windows quickly by typing
ghidra-plays-mario - Playing NES ROMs with Ghidra's PCode Emulator
ghidra - Ghidra is a software reverse engineering (SRE) framework
retro - Retro Games in Gym
6502_65C02_functional_tests - Tests for all valid opcodes of the 6502 and 65C02 processor