pymarl2 VS Emergent-Multiagent-Strategies

Compare pymarl2 vs Emergent-Multiagent-Strategies and see what are their differences.

pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios) (by hijkzzz)
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pymarl2 Emergent-Multiagent-Strategies
1 1
556 38
- -
5.0 0.0
4 months ago over 1 year 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.

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.

Emergent-Multiagent-Strategies

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

What are some alternatives?

When comparing pymarl2 and Emergent-Multiagent-Strategies you can also consider the following projects:

nlp-recipes - Natural Language Processing Best Practices & Examples

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

auto-sklearn - Automated Machine Learning with scikit-learn

Competitive-Programming

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).

DI-engine - OpenDILab Decision AI Engine

Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

pumpkin - The MAS Demonic Surveillance Platform. 🎃 [Moved to: https://github.com/scandale-project/pumpkin]

fast-reid - SOTA Re-identification Methods and Toolbox

SimpleView - Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"