meltingpot VS Shimmy

Compare meltingpot vs Shimmy and see what are their differences.

meltingpot

A suite of test scenarios for multi-agent reinforcement learning. (by google-deepmind)

Shimmy

An API conversion tool for popular external reinforcement learning environments (by Farama-Foundation)
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meltingpot Shimmy
4 1
541 118
4.8% 3.4%
8.7 6.2
13 days ago about 2 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

meltingpot

Posts with mentions or reviews of meltingpot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

Shimmy

Posts with mentions or reviews of Shimmy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

What are some alternatives?

When comparing meltingpot and Shimmy you can also consider the following projects:

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

lab - A customisable 3D platform for agent-based AI research

bsuite - bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

gym - A toolkit for developing and comparing reinforcement learning algorithms.

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

dm_control - Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Arcade-Learning-Environment - The Arcade Learning Environment (ALE) -- a platform for AI research.