pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios) (by hijkzzz)
Mava
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX (by instadeepai)
| pymarl2 | Mava | |
|---|---|---|
| 1 | 5 | |
| 557 | 647 | |
| - | 1.2% | |
| 5.0 | 9.9 | |
| 4 months ago | 3 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
pymarl2
Posts with mentions or reviews of pymarl2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-17.
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MARL top conference papers are ridiculous
https://github.com/hijkzzz/pymarl2 (RIIT)
Mava
Posts with mentions or reviews of Mava.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-14.
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Starting wth Multi Agent Reinforcement Learning
If you want to play with models and algorithms around MARL, take a look at Mava.
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Recomendations of framework/library for MARL
These are the main reasons we built Mava , a library built specifically for MARL. We are also in the process of rewriting it to be simpler to compose MARL components (communication, central training etc), and we are rewriting our codebase in JAX, so really looking forward to improved performance! (Disclaimer, I am one of the people working on Mava).
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Training with multiple agents.
The OpenSpiel games (as well as several others) are also available from MAVA (https://github.com/instadeepai/Mava).
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[R] Mava: a research framework for distributed multi-agent reinforcement learning
https://arxiv.org/abs/2107.01460 Mava, a scalable framework for research in multi-agent reinforcement learning, contains implementation for several multi-agent systems like multi-agent DQN (MADQN), MADDPG, MAPPO, MAD4PG, DIAL, QMIX, and VDN, and integrates well with multi-agent RL environments like PettingZoo, Flatland, OpenSpiel, RoboCup, and SMAC. On GitHub: https://github.com/instadeepai/Mava
What are some alternatives?
When comparing pymarl2 and Mava you can also consider the following projects:
nlp-recipes - Natural Language Processing Best Practices & Examples
acme - A library of reinforcement learning components and agents