Mava VS multi_agent_path_planning

Compare Mava vs multi_agent_path_planning and see what are their differences.

Mava

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX (by instadeepai)

multi_agent_path_planning

Python implementation of a bunch of multi-robot path-planning algorithms. (by atb033)
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Mava multi_agent_path_planning
5 1
637 952
6.6% -
9.9 0.0
1 day ago 12 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.

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.
  • Recomendations of framework/library for MARL
    4 projects | /r/reinforcementlearning | 14 Sep 2022
    I'm new to MARL and I'm looking for some open source implementations that I could use in a project. I have some previous experience in single agent RL, mainly with SB3 and gym, but just now started reading some MARL papers. I'm mainly looking for a good balance between performance, good documentation and ease of use. So far, I've taken look at Mava and RLlib. Mava seems like a very complete option, though I'm not at all familiar with the API and it maybe something simpler could also do the trick. As for the environment library, I was considering PettingZoo, since it has a very similar api to gym. Thought I might as well ask here first, as people can suggest other options for me to investigate or even give me some pros and cons they have learned from past experience.
    4 projects | /r/reinforcementlearning | 14 Sep 2022
    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).
  • Training with multiple agents.
    3 projects | /r/reinforcementlearning | 4 Jan 2022
    The OpenSpiel games (as well as several others) are also available from MAVA (https://github.com/instadeepai/Mava).

multi_agent_path_planning

Posts with mentions or reviews of multi_agent_path_planning. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning multi_agent_path_planning yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Mava and multi_agent_path_planning you can also consider the following projects:

acme - A library of reinforcement learning components and agents

tf2multiagentrl - Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x

lingvo - Lingvo

PathPlanning - Common used path planning algorithms with animations.

pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

mini-AlphaStar - (JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

agents-aea - A framework for autonomous economic agent (AEA) development

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

camel - 🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org

IC3Net - Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks