meltingpot
A suite of test scenarios for multi-agent reinforcement learning. (by google-deepmind)
PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities (by Farama-Foundation)
| meltingpot | PettingZoo | |
|---|---|---|
| 4 | 19 | |
| 541 | 2,393 | |
| 4.8% | 3.1% | |
| 8.7 | 8.6 | |
| 13 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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.
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
This includes single-agent Gymnasium wrappers for DM Control, DM Lab, Behavior Suite, Arcade Learning Environment, OpenAI Gym V21 & V26. Multi-agent PettingZoo wrappers support DM Control Soccer, OpenSpiel and Melting Pot. For more information, read the release notes here:
- Melting Pot – A suite of test scenarios for multi-agent reinforcement learning
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Unreal Engine Deep Learning Project Suggestion
https://github.com/deepmind/meltingpot check this out too. You're welcome.
- Melting Pot: A suite of test scenarios for multi-agent reinforcement learning
PettingZoo
Posts with mentions or reviews of PettingZoo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-24.
- CartPole equivalent enviroments in MARL?
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[P] PettingZoo 1.24.0 has been released (including Stable-Baselines3 tutorials)
Release notes: https://github.com/Farama-Foundation/PettingZoo/releases/tag/1.24.0
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Shimmy 1.0: Gymnasium & PettingZoo bindings for popular external RL environments
To address this issue, we are excited to announce the release of Shimmy as a mature Farama Foundation project. Shimmy is an API compatibility tool for converting external RL environments to the Gymnasium and PettingZoo APIs. This allows users to access a wide range of single and multi-agent environments, all under a single standard API.
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Petting Zoo Classic Environment
I am currently trying to implement my own version of a Connect Four Environment based on the version available on the PettingZoo Library github (https://github.com/Farama-Foundation/PettingZoo/blob/master/pettingzoo/classic/connect_four/connect_four.py).
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Ideas for MARL project?
The Farama Foundation is always looking for contributors to PettingZoo, the largest open source MARL library out there (https://github.com/Farama-Foundation/PettingZoo, farama.org). If you might be interested in that you can message them in their discord server
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Is Stable Baselines 3 no longer compatible with PettingZoo?
I am trying to implement a custom PettingZoo environment, and a shared policy with Stable Baselines 3. I am running into trouble with the action spaces not being compatible, since PettingZoo has started using gymnasium instead of gym. Does anyone know if these libraries no longer work together, and perhaps if there is a work-around?
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New to reinforcement learning.
I'd say this is a great path but I'd also look at the basic on-policy gradient actor critic methods like A2C and eventually PPO. Someone recommended SAC which also really good. There are tons of environments in the https://github.com/Farama-Foundation/PettingZoo as well if you want to mess with those. You can also check out stable baselines https://github.com/DLR-RM/stable-baselines3 which is pretty popular. If you want to get into the theory more I recommend reading the Sutton and Barto book on reinforcement learning.
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[Stable Baselines3] How do I train 3 model simultaneously?
Might want to check out petting zoo: https://github.com/Farama-Foundation/PettingZoo
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Are there any other high-quality pre-built Python training environments other than Open AI's GYM?
Not that I know of, most I've seen are based on gym. I did see PettingZoo which is for multi-agent RL. https://github.com/Farama-Foundation/PettingZoo
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Training with multiple agents.
Thank you for your comment. This is certainly helpful. I have since read more about this domain and turns out mathematically it is modeled using Markov/Stochastic game representations. I also found PettingZoo which can be used with RayLib for MARL problems.
What are some alternatives?
When comparing meltingpot and PettingZoo you can also consider the following projects:
lab - A customisable 3D platform for agent-based AI research
open_spiel - OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Shimmy - An API conversion tool for popular external reinforcement learning environments
gym-macm - 2D, physics based gym environment for multi-agent combat & movement tasks
SuperSuit - A collection of wrappers for Gymnasium and PettingZoo environments (being merged into gymnasium.wrappers and pettingzoo.wrappers
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.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
Arcade-Learning-Environment - The Arcade Learning Environment (ALE) -- a platform for AI research.
Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
meltingpot vs lab
PettingZoo vs open_spiel
meltingpot vs Shimmy
PettingZoo vs gym-macm
meltingpot vs open_spiel
PettingZoo vs SuperSuit
meltingpot vs stable-baselines3
PettingZoo vs stable-baselines3
meltingpot vs dm_control
PettingZoo vs gym
meltingpot vs Arcade-Learning-Environment
PettingZoo vs Mava